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biblio.bib
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@string{ai = {Artificial Intelligence}}
@string{lncs = {Lecture Notes in Computer Science}}
@string{ijcv = {International Journal of Computer Vision}}
@string{phd = {Physica D}}
@article{ban01progr,
author = "J.~Banhart",
title = "Manufacture, characterisation and application of cellular metals
and metal foams",
journal = "Progress in Materials Science",
year = "2001",
volume = "46",
pages = "559--632",
}
@phdthesis{STA03,
author = {H.~Stanzick},
title = {Untersuchung der Bildung und des Kollapses von Metallsch\"aumen},
school = {Bremen Universit\"{a}t },
year = 2003,
}
@article{Bhakta97,
author = "A. Bhakta and E. Ruckenstein",
title = "Drainage and Coalescence in Standing Foams",
journal = "Journal of Colloid and Interface Science",
volume = "191",
pages = "184–-201",
year = "1997",
}
@article{hilg02,
author = {S.~Hilgenfeldt},
title = {Bubble geometry},
journal = {Nieuw Archief voor Wiskunde},
year = {2002},
volume = {5},
number = {3},
pages = {224--230},
}
@article{duarte00,
author = {I.~Duarte AND J.~Banhart},
title = {A study of aluminium foam formation - kinetics and microstructure},
journal = {Acta Materialia},
year = {2000},
volume = {48},
pages = {2349--2362},
}
@article{Banhart01,
author = "J.~Banhart and H.~Stanzick and L.~Helfen and T.~Baumbach",
title = "Metal foam evolution studied by synchrotron radioscopy",
journal = "Applied Physical Letters",
year = "2001",
volume = "78",
pages = "1152-1154",
}
@PHDTHESIS{Helfen03,
author = {L.~Helfen },
title = {Investigation of the Structure, Formation
and Properties of Porous, Cellular and
Low-Density Materials with
Synchrotron-Radiation Imaging},
school = {Universit\"at des Saarlandes},
year = {2003},
}
@article{HornSchunck81,
author = {B. Horn and B. Schunck},
title = {Determining optical flow},
journal = ai,
volume = {17},
number = {},
pages = {185--203},
month = {},
year = {1981},
note = {}
}
@phdthesis{BruhnThesis,
author = {A. Bruhn},
title = {Variational Optic Flow Computation -- Accurate Modelling and Efficient Numerics},
school = {Department of Mathematics and Comptuer Science, Saarland University},
address = {Germany},
month = jul,
year = {2006},
note = {}
}
@phdthesis{ErshovThesis,
type={Master Thesis},
author = {Alexey Ershov},
title = {Coalescence Rate Estimation using Optical Flow and Occlusion Detection},
subtitle = {Master Thesis},
school = {Mathematical Image Analysis Group, Computer Science Department, Saarland University},
address = {Germany},
month = mar,
year = {2008},
note = {}
}
@incollection{Brox04,
author = {T. Brox and A. Bruhn and N. Papenberg and J. Weickert},
title = {High accuracy optic flow estimation based on a theory for
warping},
editor = {T. Pajdla and J. Matas},
booktitle = {Computer Vision -- {ECCV} 2004},
chapter = {},
pages = {25--36},
series = lncs,
volume = {3024},
number = {},
institution = {},
publisher = {Springer},
address = {Berlin},
month = {},
year = {2004},
note = {}
}
@article{Weickert00b,
author = {J. Weickert and C. Schn\"orr},
title = {A theoretical framework for convex regularizers in
{PDE}-based computation of image motion},
journal = ijcv,
volume = {45},
number = {3},
pages = {245--264},
month = dec,
year = {2001},
note = {}
}
@book{Yo71,
author = {D. M. Young},
editor = {},
title = {Iterative Solution of Large Linear Systems},
series = {},
volume = {},
number = {},
publisher = {Academic Press},
address = {New York},
edition = {},
month = {},
year = {1971},
note = {}
}
@inproceedings{MP98a,
author = {E. M\'emin and P. P\'erez},
title = {A multigrid approach for hierarchical motion estimation},
booktitle = {Proc.~6th International Conference on Computer Vision},
address = {Bombay, India},
month = jan,
year = {1998},
pages = {933--938},
}
@techreport{HSSW01,
author = {W. Hinterberger and O. Scherzer and C. Schn\"orr
and J. Weickert},
title = {Analysis of optical flow models in the framework of
calculus of variations},
number = {8/2001},
institution = {Computer Science Series, University of Mannheim},
address = {Germany},
month = apr,
year = {2001},
note = {}
}
@article{ROF92,
author = {L. I. Rudin and S. Osher and E. Fatemi},
title = {Nonlinear total variation based noise removal algorithms},
journal = phd,
volume = {60},
number = {},
pages = {259--268},
month = {},
year = {1992},
note = {}
}
@article{PD00,
author = {N. Paragios and R. Deriche},
title = {Geodesic active contours and level sets for the detection
and tracking of moving objects},
journal = tpami,
volume = {22},
number = {3},
pages = {266--280},
month = mar,
year = {2000},
note = {}
}
@incollection{BBW06,
author = {T. Brox and A. Bruhn and J. Weickert},
title = {Variational motion segmentation with level sets},
editor = {H. Bischof and A. Leonardis and A. Pinz},
booktitle = {Computer Vision -- {ECCV} 2006},
chapter = {},
pages = {471-483},
series = lncs,
volume = {3951},
number = {},
institution = {},
publisher = {Springer},
address = {Berlin},
month = {},
year = {2006},
note = {}
}
@incollection{ADPS02,
author = {L. Alvarez and R. Deriche and T. Papadopoulo and J. Sanchez},
title = { Symmetrical dense optical flow estimation with occlusions detection},
editor = {A. Heyden and G. Sparr and M. Nielsen and P. Johansen},
booktitle = {Computer Vision -- {ECCV} 2002},
chapter = {},
pages = {721--736},
series = lncs,
volume = {2350},
number = {},
institution = {},
publisher = {Springer},
address = {Berlin},
month = {},
year = {2002},
note = {},
annotate = {}
}
@book{niels04,
author = {Jens Als-Niels AND Des McMorrow},
title = {Elements of Modern {X}-Ray Physics},
publisher = {John Wiley $\&$ Sons Ltd.},
year = {2004},
isbn = {0 471 498572},
}
@inproceedings{ndtinprogr05,
author = {A.~Myagotin AND L.~Helfen AND J.~Banhart AND T.~Baumbach},
title = {In situ radiography of the metal foaming process:
a quantitative analysis},
booktitle = {3rd Workshop "NDT in Progress", October 10-12, Prague, Czech Republic},
year = {2005},
editor = {P.~Mazal},
pages = {223--233},
publisher = {Brno University of Technology},
note = {ISBN~80-214-2996-8},
}
@inproceedings{modmat07,
author = {A.~Myagotin AND L.~Helfen AND T.~Baumbach},
title = {Quantitative Inspection of Evolving Metal Foams by X-ray Imaging Methods},
booktitle = {Modern materials and technologies 2007, October 17-18, PNU, Khabarovsk, Russia},
volume = {2},
pages = {7--14},
year = {2007},
note = {ISBN~978-5-7389-0566-7},
}
@article{Middl,
abstract = {The quantitative evaluation of optical flow algorithms by Barron et al. (},
added-at = {2013-03-04T14:42:57.000+0100},
author = {Baker, Simon and Scharstein, Daniel and Lewis, J.P. and Roth, Stefan and Black, Michael J. and Szeliski, Richard},
biburl = {http://www.bibsonomy.org/bibtex/2bb9d6c10bc64d008df12a171bb8e3bab/alex_ruff},
doi = {10.1007/s11263-010-0390-2},
interhash = {d56b0fb76bfb75b213a4ff688e7e47e1},
intrahash = {bb9d6c10bc64d008df12a171bb8e3bab},
issn = {0920-5691},
journal = {International Journal of Computer Vision},
keywords = {database evaluation optical_flow},
language = {English},
number = 1,
pages = {1-31},
publisher = {Springer US},
timestamp = {2013-03-04T14:42:57.000+0100},
title = {A Database and Evaluation Methodology for Optical Flow},
url = {http://dx.doi.org/10.1007/s11263-010-0390-2},
volume = 92,
year = 2011
}
@inproceedings{Sun10,
abstract = {The accuracy of optical flow estimation algorithms has been improving steadily as evidenced by results on the Middlebury optical flow benchmark. The typical formulation, however, has changed little since the work of Horn and Schunck. We attempt to uncover what has made recent advances possible through a thorough analysis of how the objective function, the optimization method, and modern implementation practices influence accuracy. We discover that “classical” flow formulations perform surprisingly well when combined with modern optimization and implementation techniques. Moreover, we find that while median filtering of intermediate flow fields during optimization is a key to recent performance gains, it leads to higher energy solutions. To understand the principles behind this phenomenon, we derive a new objective that formalizes the median filtering heuristic. This objective includes a nonlocal term that robustly integrates flow estimates over large spatial neighborhoods. By modifying this new term to include information about flow and image boundaries we develop a method that ranks at the top of the Middlebury benchmark.},
added-at = {2013-06-12T21:37:26.000+0200},
author = {Sun, Deqing and Roth, S. and Black, M.J.},
biburl = {http://www.bibsonomy.org/bibtex/2a6f9e513992173502241c044f6b29ef7/alex_ruff},
booktitle = {Computer Vision and Pattern Recognition (CVPR), 2010 IEEE Conference on},
description = {IEEE Xplore - Secrets of optical flow estimation and their principles},
doi = {10.1109/CVPR.2010.5539939},
interhash = {65ce77d3fa4f2d3cfd7cfc4bb45452f7},
intrahash = {a6f9e513992173502241c044f6b29ef7},
issn = {1063-6919},
keywords = {benchmark evaluation optical_flow},
pages = {2432-2439},
timestamp = {2013-06-12T21:37:26.000+0200},
title = {Secrets of optical flow estimation and their principles},
url = {http://ieeexplore.ieee.org/xpl/login.jsp?tp=&arnumber=5539939&url=http%3A%2F%2Fieeexplore.ieee.org%2Fxpls%2Fabs_all.jsp%3Farnumber%3D5539939},
year = 2010
}
@article{CGF3013,
abstract = {Optical flow is a critical component of video editing applications, e.g. for tasks such as object tracking, segmentation, and selection. In this paper, we propose an optical flow algorithm called SimpleFlow whose running times increase sublinearly in the number of pixels. Central to our approach is a probabilistic representation of the motion flow that is computed using only local evidence and without resorting to global optimization. To estimate the flow in image regions where the motion is smooth, we use a sparse set of samples only, thereby avoiding the expensive computation inherent in traditional dense algorithms. We show that our results can be used as is for a variety of video editing tasks. For applications where accuracy is paramount, we use our result to bootstrap a global optimization. This significantly reduces the running times of such methods without sacrificing accuracy. We also demonstrate that the SimpleFlow algorithm can process HD and 4K footage in reasonable times.},
added-at = {2013-03-20T17:31:25.000+0100},
author = {Tao, Michael and Bai, Jiamin and Kohli, Pushmeet and Paris, Sylvain},
biburl = {http://www.bibsonomy.org/bibtex/2ce3ec424021d830772f4a69e22ea6b29/alex_ruff},
description = {SimpleFlow: A Non-iterative, Sublinear Optical Flow Algorithm - Tao - 2012 - Computer Graphics Forum - Wiley Online Library},
doi = {10.1111/j.1467-8659.2012.03013.x},
interhash = {00b8ae07a85df689185aef566a9e8fe2},
intrahash = {ce3ec424021d830772f4a69e22ea6b29},
issn = {1467-8659},
journal = {Computer Graphics Forum},
keywords = {optical_flow},
number = {2pt1},
pages = {345--353},
publisher = {Blackwell Publishing Ltd},
timestamp = {2013-03-20T17:31:25.000+0100},
title = {SimpleFlow: A Non-iterative, Sublinear Optical Flow Algorithm},
url = {http://dx.doi.org/10.1111/j.1467-8659.2012.03013.x},
volume = 31,
year = 2012
}
@article{Schnorr93,
added-at = {2013-04-05T14:31:07.000+0200},
address = {Los Alamitos, CA, USA},
author = {Schn\"orr, C.},
biburl = {http://www.bibsonomy.org/bibtex/2b8580e2213fe38a04685c310f1ae8fb4/alex_ruff},
description = {On Functionals with Greyvalue-Controlled Smoothness Terms for Determining Optical Flow},
doi = {http://doi.ieeecomputersociety.org/10.1109/34.254064},
interhash = {b1ca6a37a618e70af1adad2ad61dcabf},
intrahash = {b8580e2213fe38a04685c310f1ae8fb4},
issn = {0162-8828},
journal = {IEEE Transactions on Pattern Analysis and Machine Intelligence},
keywords = {optical_flow},
number = 10,
pages = {1074-1079},
publisher = {IEEE Computer Society},
timestamp = {2013-04-05T14:31:07.000+0200},
title = {On Functionals with Greyvalue-Controlled Smoothness Terms for Determining Optical Flow},
volume = 15,
year = 1993
}
@article{Black96,
abstract = {Most approaches for estimating optical flow assume that, within a finite image region, only a single motion is present. Thissingle motion assumptionis violated in common situations involving transparency, depth discontinuities, independently moving objects, shadows, and specular reflections. To robustly estimate optical flow, the single motion assumption must be relaxed. This paper presents a framework based onrobust estimationthat addresses violations of the brightness constancy and spatial smoothness assumptions caused by multiple motions. We show how therobust estimation frameworkcan be applied to standard formulations of the optical flow problem thus reducing their sensitivity to violations of their underlying assumptions. The approach has been applied to three standard techniques for recovering optical flow: area-based regression, correlation, and regularization with motion discontinuities. This paper focuses on the recovery of multiple parametric motion models within a region, as well as the recovery of piecewise-smooth flow fields, and provides examples with natural and synthetic image sequences.},
added-at = {2013-04-05T14:41:01.000+0200},
author = {Black, Michael J. and Anandan, P.},
biburl = {http://www.bibsonomy.org/bibtex/24d040721baba833f144b40dc5377f896/alex_ruff},
description = {ScienceDirect.com - Computer Vision and Image Understanding - The Robust Estimation of Multiple Motions: Parametric and Piecewise-Smooth Flow Fields},
doi = {10.1006/cviu.1996.0006},
interhash = {44a4a0687ddca36f4ddbab5111545adb},
intrahash = {4d040721baba833f144b40dc5377f896},
issn = {1077-3142},
journal = {Computer Vision and Image Understanding},
keywords = {optical_flow},
number = 1,
pages = {75 - 104},
timestamp = {2013-04-05T14:41:01.000+0200},
title = {The Robust Estimation of Multiple Motions: Parametric and Piecewise-Smooth Flow Fields},
url = {http://www.sciencedirect.com/science/article/pii/S1077314296900065},
volume = 63,
year = 1996
}
@incollection{Mileva07,
abstract = {Since years variational methods belong to the most accurate techniques for computing the optical flow in image sequences. However, if based on the grey value constancy assumption only, such techniques are not robust enough to cope with typical illumination changes in real-world data. In our paper we tackle this problem in two ways: First we discuss different photometric invariants for the design of illumination-robust variational optical flow methods. These invariants are based on colour information and include such concepts as spherical/conical transforms, normalisation strategies and the differentiation of logarithms. Secondly, we embed them into a suitable multichannel generalisation of the highly accurate variational optical flow technique of Brox },
added-at = {2013-04-11T13:54:16.000+0200},
author = {Mileva, Yana and Bruhn, Andr\'es and Weickert, Joachim},
biburl = {http://www.bibsonomy.org/bibtex/259a95810146e4c9c1cb707d3fb01b85e/alex_ruff},
booktitle = {Pattern Recognition},
description = {Illumination-Robust Variational Optical Flow with Photometric Invariants - Springer},
doi = {10.1007/978-3-540-74936-3_16},
editor = {Hamprecht, FredA. and Schnörr, Christoph and Jähne, Bernd},
interhash = {50685cc3e9c3e55487e897f8db59b7ff},
intrahash = {59a95810146e4c9c1cb707d3fb01b85e},
isbn = {978-3-540-74933-2},
keywords = {optical_flow to_READ},
pages = {152-162},
publisher = {Springer Berlin Heidelberg},
series = {Lecture Notes in Computer Science},
timestamp = {2013-04-11T13:54:16.000+0200},
title = {Illumination-Robust Variational Optical Flow with Photometric Invariants},
url = {http://dx.doi.org/10.1007/978-3-540-74936-3_16},
volume = 4713,
year = 2007
}
@inproceedings{Weijer04,
abstract = {Optical flow is widely in use in the field of image processing. In general, optical flow is computed from luminance images. However, optical flow based on luminance information highly depends on moving shadows, varying shading and moving specularities due to camera movement, and fluctuations in the light source intensity. In this paper, we propose a novel method to compute optical flow based on photometric invariants. A major drawback of photometric invariants and their derivatives is that they are unstable for certain RGB values. Therefore, we study on photometric invariant derivatives and noise propagation yielding a condence measure indicating the stability of the corresponding photometric invariant derivatives. This condence measure is integrated into the optical flow framework to provide robustness against noisy data. Experimental results show that the proposed method significantly outperforms optical flow estimation that does not take the instability of the invariants into account.},
added-at = {2013-04-11T14:03:12.000+0200},
author = {van de Weijer, J. and Gevers, T.},
biburl = {http://www.bibsonomy.org/bibtex/2d0cfe242eb6adc4b1d5c431712264bf0/alex_ruff},
booktitle = {Image Processing, 2004. ICIP '04. 2004 International Conference on},
description = {IEEE Xplore - Robust optical flow from photometric invariants},
doi = {10.1109/ICIP.2004.1421433},
interhash = {7c47dde47ce6310c5af91534b86fca00},
intrahash = {d0cfe242eb6adc4b1d5c431712264bf0},
issn = {1522-4880},
keywords = {optical_flow},
pages = {1835-1838 Vol. 3},
timestamp = {2013-04-11T14:03:12.000+0200},
title = {Robust optical flow from photometric invariants},
url = {http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=1421433&tag=1},
volume = 3,
year = 2004
}
@article{HarmonyFlow,
abstract = {Most variational optic flow approaches just consist of three constituents: a data term, a smoothness term and a smoothness weight. In this paper, we present an approach that harmonises these three components. We start by developing an advanced data term that is robust under outliers and varying illumination conditions. This is achieved by using constraint normalisation, and an HSV colour representation with higher order constancy assumptions and a separate robust penalisation. Our novel anisotropic smoothness is designed to work complementary to the data term. To this end, it incorporates directional information from the data constraints to enable a filling-in of information solely in the direction where the data term gives no information, yielding an optimal complementary smoothing behaviour. This strategy is applied in the spatial as well as in the spatio-temporal domain. Finally, we propose a simple method for automatically determining the optimal smoothness weight. This method bases on a novel concept that we call “optimal prediction principle” (OPP). It states that the flow field obtained with the optimal smoothness weight allows for the best prediction of the next frames in the image sequence. The benefits of our “optic flow in harmony” (OFH) approach are demonstrated by an extensive experimental validation and by a competitive performance at the widely used Middlebury optic flow benchmark.},
added-at = {2013-04-05T14:27:25.000+0200},
author = {Zimmer, Henning and Bruhn, Andr\'es and Weickert, Joachim},
biburl = {http://www.bibsonomy.org/bibtex/23f0d91b1b52d6b9f4641266083740557/alex_ruff},
description = {Optic Flow in Harmony - Springer},
doi = {10.1007/s11263-011-0422-6},
interhash = {022d915848bc922c75ca08ebec553c91},
intrahash = {3f0d91b1b52d6b9f4641266083740557},
issn = {0920-5691},
journal = {International Journal of Computer Vision},
keywords = {optical_flow},
language = {English},
number = 3,
pages = {368-388},
publisher = {Springer US},
timestamp = {2013-04-05T14:27:25.000+0200},
title = {Optic Flow in Harmony},
url = {http://dx.doi.org/10.1007/s11263-011-0422-6},
volume = 93,
year = 2011
}
@article{Bertero88,
abstract = {Mathematical results on ill-posed and ill-conditioned problems are reviewed and the formal aspects of regularization theory in the linear case are introduced. Specific topics in early vision and their regularization are then analyzed rigorously, characterizing existence, uniqueness, and stability of solutions. A fundamental difficulty that arises in almost every vision problem is scale, that is, the resolution at which to operate. Methods that have been proposed to deal with the problem include scale-space techniques that consider the behavior of the result across a continuum of scales. From the point of view of regulation theory, the concept of scale is related quite directly to the regularization parameter λ. It suggested that methods used to obtained the optimal value of λ may provide, either directly or after suitable modification, the optimal scale associated with the specific instance of certain problems},
added-at = {2013-04-11T14:27:20.000+0200},
author = {Bertero, M. and Poggio, T.A. and Torre, V.},
biburl = {http://www.bibsonomy.org/bibtex/2acc2b2701c082f3704e24d7edfea3556/alex_ruff},
description = {IEEE Xplore - Ill-posed problems in early vision},
doi = {10.1109/5.5962},
interhash = {6e0b06c063a4f92c7ff4581c7d77b412},
intrahash = {acc2b2701c082f3704e24d7edfea3556},
issn = {0018-9219},
journal = {Proceedings of the IEEE},
keywords = {ComputerVision computation optical_flow},
number = 8,
pages = {869-889},
timestamp = {2013-04-11T14:27:20.000+0200},
title = {Ill-posed problems in early vision},
url = {http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=5962},
volume = 76,
year = 1988
}
@article{Bruhn2006,
abstract = {Variational methods are among the most accurate techniques for estimating the optic flow. They yield dense flow fields and can be designed such that they preserve discontinuities, estimate large displacements correctly and perform well under noise and varying illumination. However, such adaptations render the minimisation of the underlying energy functional very expensive in terms of computational costs: Typically one or more large linear or nonlinear equation systems have to be solved in order to obtain the desired solution. Consequently, variational methods are considered to be too slow for real-time performance. In our paper we address this problem in two ways: (i) We present a numerical framework based on bidirectional multigrid methods for accelerating a broad class of variational optic flow methods with different constancy and smoothness assumptions. Thereby, our work focuses particularly on regularisation strategies that preserve discontinuities. (ii) We show by the examples of five classical and two recent variational techniques that real-time performance is possible in all cases—even for very complex optic flow models that offer high accuracy. Experiments show that frame rates up to 63 dense flow fields per second for image sequences of size 160 × 120 can be achieved on a standard PC. Compared to classical iterative methods this constitutes a speedup of two to four orders of magnitude.},
added-at = {2013-04-11T14:43:49.000+0200},
author = {Bruhn, Andr\'es and Weickert, Joachim and Kohlberger, Timo and Schn\"orr, Christoph},
biburl = {http://www.bibsonomy.org/bibtex/23073285b1f2484e7c5de519f49085eee/alex_ruff},
description = {A Multigrid Platform for Real-Time Motion Computation with Discontinuity-Preserving Variational Methods - Springer},
doi = {10.1007/s11263-006-6616-7},
interhash = {cc4dc20392295e82e816e73de9eb831f},
intrahash = {3073285b1f2484e7c5de519f49085eee},
issn = {0920-5691},
journal = {International Journal of Computer Vision},
keywords = {optical_flow},
language = {English},
number = 3,
pages = {257-277},
publisher = {Kluwer Academic Publishers},
timestamp = {2013-04-11T14:43:49.000+0200},
title = {A Multigrid Platform for Real-Time Motion Computation with Discontinuity-Preserving Variational Methods},
url = {http://dx.doi.org/10.1007/s11263-006-6616-7},
volume = 70,
year = 2006
}
@inproceedings{Schnorr94,
abstract = {A minimization problem is proposed to combine smoothing of locally computed motion data (e.g. normal flow) with the detection of motion boundaries. The continuous formulation of the cost functional allows one to incorporate arbitrary continuity-equations which locally determine apparent motion, and a nonlinear smoothing term adapts to the magnitude of the flow-gradient or to its components divergence, rotation, and shear. The approach has been designed such that gradient descent converges to a unique solution},
added-at = {2013-04-11T14:57:32.000+0200},
author = {Schn\"orr, C.},
biburl = {http://www.bibsonomy.org/bibtex/25068556f6a3a3a4d490f6ca0f4402828/alex_ruff},
booktitle = {Pattern Recognition, 1994. Vol. 1 - Conference A: Computer Vision amp; Image Processing., Proceedings of the 12th IAPR International Conference on},
description = {IEEE Xplore - Segmentation of visual motion by minimizing convex non-quadratic functionals},
doi = {10.1109/ICPR.1994.576391},
interhash = {38eef16ce1a9300becf2e2319cf30e29},
intrahash = {5068556f6a3a3a4d490f6ca0f4402828},
keywords = {optical_flow},
pages = {661-663 vol.1},
timestamp = {2013-04-11T14:57:32.000+0200},
title = {Segmentation of visual motion by minimizing convex non-quadratic functionals},
url = {http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=576391&tag=1},
volume = 1,
year = 1994
}
@article{Lai98,
abstract = {In this paper, we present two very efficient and accurate algorithms for computing optical flow. The first is a modified gradient-based regularization method, and the other is an SSD-based regularization method. For the gradient-based method, to amend the errors in the discrete image flow equation caused by numerical differentiation as well as temporal and spatial aliasing in the brightness function, we propose to selectively combine the image flow constraint and a contour-based flow constraint into the data constraint by using a reliability measure. Each data constraint is appropriately normalized to obtain an approximate minimum distance (of the data point to the linear flow equation) constraint instead of the conventional linear flow constraint. These modifications lead to robust and accurate optical flow estimation. We propose an incomplete Cholesky preconditioned conjugate gradient algorithm to solve the resulting large and sparse linear system efficiently. Our SSD-based regularization method uses a normalized SSD measure (based on a similar reasoning as in the gradient-based scheme) as the data constraint in a regularization framework. The nonlinear conjugate gradient algorithm in conjunction with an incomplete Cholesky preconditioning is developed to solve the resulting nonlinear minimization problem. Experimental results on synthetic and real image sequences for these two algorithms are given to demonstrate their performance in comparison with competing methods reported in literature.},
added-at = {2013-04-11T15:28:46.000+0200},
author = {Lai, Shang-Hong and Vemuri, Baba C.},
biburl = {http://www.bibsonomy.org/bibtex/297197f3a1124a6daf82b3da65d56994c/alex_ruff},
description = {Reliable and Efficient Computation of Optical Flow - Springer},
doi = {10.1023/A:1008005509994},
interhash = {f68763981f5e3799ee0c951848f3d76b},
intrahash = {97197f3a1124a6daf82b3da65d56994c},
issn = {0920-5691},
journal = {International Journal of Computer Vision},
keywords = {optical_flow},
language = {English},
number = 2,
pages = {87-105},
publisher = {Kluwer Academic Publishers},
timestamp = {2013-04-11T15:28:46.000+0200},
title = {Reliable and Efficient Computation of Optical Flow},
url = {http://dx.doi.org/10.1023/A%3A1008005509994},
volume = 29,
year = 1998
}
@incollection{Alvarez99,
abstract = {This paper presents an interpretation of a classic optical flow method by Nagel and Enkelmann as a tensor-driven anisotropic diffusion approach in digital image analysis. We introduce an improvement into the model formulation, and we establish well-posedness results for the resulting system of parabolic partial differential equations. Our method avoids linearizations in the optical flow constraint, and it can recover displacement fields which are far beyond the typical one-pixel limits that are characteristic for many differential methods for optical flow recovery. A robust numerical scheme is presented in detail. We avoid convergence to irrelevant local minima by embedding our method into a linear scale- space framework and using a focusing strategy from coarse to fine scales. The high accuracy of the proposed method is demonstrated by means of a synthetic and a real-world image sequence.},
added-at = {2013-04-12T17:44:54.000+0200},
author = {Alvarez, Luis and Sanchez, Javier and Weickert, Joachim},
biburl = {http://www.bibsonomy.org/bibtex/213f9abe07afcab2196c92bd905fce644/alex_ruff},
booktitle = {Scale-Space Theories in Computer Vision},
description = {A Scale-Space Approach to Nonlocal Optical Flow Calculations - Springer},
doi = {10.1007/3-540-48236-9_21},
interhash = {4d3c92c3fc8586dc8f435397eeb8bbff},
intrahash = {13f9abe07afcab2196c92bd905fce644},
isbn = {978-3-540-66498-7},
keywords = {optical_flow},
language = {English},
pages = {235-246},
publisher = {Springer Berlin Heidelberg},
series = {Lecture Notes in Computer Science},
timestamp = {2013-04-12T17:44:54.000+0200},
title = {A Scale-Space Approach to Nonlocal Optical Flow Calculations},
url = {http://dx.doi.org/10.1007/3-540-48236-9_21},
volume = 1682,
year = 1999
}
@article{Nagel86,
abstract = {A mapping between one frame from an image sequence and the preceding or following frame can be represented as a displacement vector field. In most situations, the mere gray value variations do not provide sufficient information in order to estimate such a displacement vector field. Supplementary constraints are necessary, for example the postulate that a displacement vector field varies smoothly as a function of the image position. Taken as a general requirement, this creates difficulties at gray value transitions which correspond to occluding contours. Nagel therefore introduced the ``oriented smoothness'' requirement which restricts variations of the displacement vector field only in directions with small or no variation of gray values. This contribution reports results of an investigation about how such an ``oriented smoothness'' constraint may be formulated and evaluated.},
added-at = {2013-04-12T18:02:09.000+0200},
author = {Nagel, Hans-Hellmut and Enkelmann, Wilfried},
biburl = {http://www.bibsonomy.org/bibtex/2c64e0d7645b2d008c6c62906634c28f0/alex_ruff},
description = {IEEE Xplore - An Investigation of Smoothness Constraints for the Estimation of Displacement Vector Fields from Ima...},
doi = {10.1109/TPAMI.1986.4767833},
interhash = {ce38215da0ae6f65264332df83286e4e},
intrahash = {c64e0d7645b2d008c6c62906634c28f0},
issn = {0162-8828},
journal = {Pattern Analysis and Machine Intelligence, IEEE Transactions on},
keywords = {optical_flow},
number = 5,
pages = {565-593},
timestamp = {2013-04-12T18:02:09.000+0200},
title = {An Investigation of Smoothness Constraints for the Estimation of Displacement Vector Fields from Image Sequences},
url = {http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=4767833},
volume = {PAMI-8},
year = 1986
}
@inproceedings{Shulman89,
abstract = {Inverse problems in low-level vision tend to be ill-posed and smoothness assumptions (regularization) need to be made to obtain unique solutions that vary continuously as a function of the data. But the solution must not smooth over discontinuities in the image, and allowance must be made for the fact that the probability distributions of the smoothness measures are unknown. The authors apply the theory of robust statistics (<e1>M</e1>-statistics) to obtain a convex regularization that is also maximally robust against misspecification of the probability distribution of large jumps in the unknown. This theory is applied to the optical flow constraint, which is known to be noisy and inaccurate. The authors present some preliminary results showing that convex regularization theory seems to accurately preserve depth boundary information},
added-at = {2013-04-12T18:28:34.000+0200},
author = {Shulman, D. and Herve, J.-Y.},
biburl = {http://www.bibsonomy.org/bibtex/26bbdd4d647e25240f877bd8c1b37f0d2/alex_ruff},
booktitle = {Visual Motion, 1989.,Proceedings. Workshop on},
description = {IEEE Xplore - Regularization of discontinuous flow fields},
doi = {10.1109/WVM.1989.47097},
interhash = {9e9ad4809be8c2a87b7aee7f332265a9},
intrahash = {6bbdd4d647e25240f877bd8c1b37f0d2},
keywords = {optical_flow},
pages = {81-86},
timestamp = {2013-04-12T18:28:34.000+0200},
title = {Regularization of discontinuous flow fields},
url = {http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=47097},
year = 1989
}
@incollection{Nagel90,
added-at = {2013-04-12T18:41:29.000+0200},
author = {Nagel, Hans-Hellmut},
biburl = {http://www.bibsonomy.org/bibtex/2f56dcee3c0dccf79fa95a0e55cc5834f/alex_ruff},
booktitle = {Computer Vision. ECCV 90},
doi = {10.1007/BFb0014860},
editor = {Faugeras, O.},
interhash = {7e1a2a45a2310c5b46b225da81cc6ec8},
intrahash = {f56dcee3c0dccf79fa95a0e55cc5834f},
isbn = {978-3-540-52522-6},
keywords = {optical_flow},
pages = {139-148},
publisher = {Springer Berlin Heidelberg},
series = {Lecture Notes in Computer Science},
timestamp = {2013-04-12T18:41:29.000+0200},
title = {Extending the oriented smoothness constraint into the temporal domain and the estimation of derivatives of optical flow},
url = {http://dx.doi.org/10.1007/BFb0014860},
volume = 427,
year = 1990
}
@article{Weickert2001b,
abstract = {Nonquadratic variational regularization is a well-known and powerful approach for the discontinuity-preserving computation of optic flow. In the present paper, we consider an extension of flow-driven spatial smoothness terms to spatio-temporal regularizers. Our method leads to a rotationally invariant and time symmetric convex optimization problem. It has a unique minimum that can be found in a stable way by standard algorithms such as gradient descent. Since the convexity guarantees global convergence, the result does not depend on the flow initialization. Two iterative algorithms are presented that are not difficult to implement. Qualitative and quantitative results for synthetic and real-world scenes show that our spatio-temporal approach (i) improves optic flow fields significantly, (ii) smoothes out background noise efficiently, and (iii) preserves true motion boundaries. The computational costs are only 50% higher than for a pure spatial approach applied to all subsequent image pairs of the sequence.},
added-at = {2013-04-12T18:43:29.000+0200},
author = {Weickert, Joachim and Schn\"orr, Christoph},
biburl = {http://www.bibsonomy.org/bibtex/2abf6df080f4e0e41d5dcc636ac26bbc6/alex_ruff},
description = {Variational Optic Flow Computation with a Spatio-Temporal Smoothness Constraint - Springer},
doi = {10.1023/A:1011286029287},
interhash = {5913393c17c9be345a33c48ced8883b1},
intrahash = {abf6df080f4e0e41d5dcc636ac26bbc6},
issn = {0924-9907},
journal = {Journal of Mathematical Imaging and Vision},
keywords = {optical_flow},
language = {English},
number = 3,
pages = {245-255},
publisher = {Kluwer Academic Publishers},
timestamp = {2013-04-12T18:43:29.000+0200},
title = {Variational Optic Flow Computation with a Spatio-Temporal Smoothness Constraint},
url = {http://dx.doi.org/10.1023/A%3A1011286029287},
volume = 14,
year = 2001
}
@inproceedings{Sun08,
abstract = {Abstract. Assumptions of brightness constancy and spatial smoothness underlie most optical flow estimation methods. In contrast to standard heuristic formulations, we learn a statistical model of both brightness constancy error and the spatial properties of optical flow using image sequences with associated ground truth flow fields. The result is a complete probabilistic model of optical flow. Specifically, the ground truth enables us to model how the assumption of brightness constancy is violated in naturalistic sequences, resulting in a probabilistic model of ?brightness inconstancy?. We also generalize previous high-order constancy assumptions, such as gradient constancy, by modeling the constancy of responses to various linear filters in a high-order random field framework. These filters are free variables that can be learned from training data. Additionally we study the spatial structure of the optical flow and how motion boundaries are related to image intensity boundaries. Spatial smoothness is modeled using a Steerable Random Field, where spatial derivatives of the optical flow are steered by the image brightness structure. These models provide a statistical motivation for previous methods and enable the learning of all parameters from training data. All proposed models are quantitatively compared on the Middlebury flow dataset. 1},
added-at = {2013-03-05T14:20:43.000+0100},
author = {Sun, Deqing and Lewis, J. P. and Black, Michael J.},
biburl = {http://www.bibsonomy.org/bibtex/2932b3d862ebf0f62bb480fe09e531e24/alex_ruff},
booktitle = {In Proc. ECCV},
description = {CiteSeerX ? Learning optical flow},
interhash = {238ce1370f43af8afd5a4b89eacb5315},
intrahash = {932b3d862ebf0f62bb480fe09e531e24},
keywords = {optical_flow to_READ},
pages = {83--97},
timestamp = {2013-03-05T14:20:43.000+0100},
title = {Learning optical flow},
url = {http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.161.5358},
year = 2008
}
@book{elsgolts62,
title={Calculus of variations},
author={Elsgolts, Lev Ernestovich},
year={1962},
publisher={Pergamon Press}
}
@techreport{Coons67,
abstract = {The design of airplanes, ships, automobiles, and so-called "sculptured parts" involves the design, delineation, and mathematical description of bounding surfaces. A method is described which makes possible the description of free-form doubly curved surfaces of a very general kind. An extension of these ideas to hyper-surfaces in higher dimensional spaces is also indicated. This surface technique has been specifically devised for use in the Computer-Aided Design Project at M.I.T., and has already been successfully implemented here and elsewhere.},
added-at = {2013-04-13T12:57:05.000+0200},
address = {Cambridge, MA, USA},
author = {Coons, S. A.},
biburl = {http://www.bibsonomy.org/bibtex/25243cfc09ba8c9ea60bc18a10d07faa2/alex_ruff},
description = {SURFACES FOR COMPUTER-AIDED DESIGN OF SPACE FORMS},
interhash = {a693627d56b5903270f9f50944e2e92f},
intrahash = {5243cfc09ba8c9ea60bc18a10d07faa2},
keywords = {algorithms filtering image_processing},
publisher = {Massachusetts Institute of Technology},
source = {http://www.ncstrl.org:8900/ncstrl/servlet/search?formname=detail\&id=oai%3Ancstrlh%3Amitai%3AMIT-LCS%2F%2FMIT%2FLCS%2FTR-41},
timestamp = {2013-04-13T12:57:05.000+0200},
title = {SURFACES FOR COMPUTER-AIDED DESIGN OF SPACE FORMS},
year = {1967}
}
@inproceedings{Ng97,
abstract = {In optical flow estimation, an additional constraint to the constant brightness assumption is required to uniquely determine both components of the flow. Typically, these constraints impose a smoothness requirement on the flow estimate. Since the smoothness constraint may be inconsistent with the brightness constraint, a smoothing parameter is introduced to control the tradeoff between satisfying the requirements of both constraints. Previously, there have only been heuristic discussions on how to choose the smoothing parameter. We show that the choice of the smoothing parameter can have a significant effect on the flow estimate and present a data-driven method based on estimated risk to select the smoothing parameter in the Horn and Schunck (1981) algorithm},
added-at = {2013-04-13T13:12:24.000+0200},
author = {Ng, L. and Solo, V.},
biburl = {http://www.bibsonomy.org/bibtex/2bd22096d4e17b22347b437c1e044073f/alex_ruff},
booktitle = {Image Processing, 1997. Proceedings., International Conference on},
description = {IEEE Xplore - A data-driven method for choosing smoothing parameters in optical flow problems},
doi = {10.1109/ICIP.1997.632117},
interhash = {ba3953110255beed7a3ae82cb29afc5c},
intrahash = {bd22096d4e17b22347b437c1e044073f},
keywords = {optical_flow},
pages = {360-363 vol.3},
timestamp = {2013-04-13T13:12:24.000+0200},
title = {A data-driven method for choosing smoothing parameters in optical flow problems},
url = {http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=632117},
volume = 3,
year = 1997
}
%-------------------------------------------------------
% Own Publication
%-------------------------------------------------------
@article{Baumbach09,
added-at = {2013-04-22T18:00:19.000+0200},
author = {Baumbach, T. and Rolo, T. D. S. and Ershov, A. and Helfen, L. and L\"ubbert, D. and Modregger, P. and Pelliccia, D. and Vagovic, P. and Xu, F.},
biburl = {http://www.bibsonomy.org/bibtex/2b794cc142abe22bded7d071ee58fd551/alex_ruff},
interhash = {26f1926a97e1beb69f7e3c611bd1749d},
intrahash = {b794cc142abe22bded7d071ee58fd551},
journal = {Testing, Materialpruefung/Materials},
keywords = {myPUB radiography tomography x-rays},
pages = {642-651},
timestamp = {2013-04-22T18:00:19.000+0200},
title = {Moderne 2-D und 3-D abbildende Röntgenverfahren mit Synchrotronstrahlung},
volume = 51,
year = 2009
}
@article{Betz08,
added-at = {2013-03-06T17:59:02.000+0100},
author = {Betz, O. and Rack, A. and Schmitt, C. and Ershov, A. and Dieterich, A. and K\"orner, L. and Haas, D. and Baumbach, T.},
biburl = {http://www.bibsonomy.org/bibtex/2065835703f72d4d975128f2cc8a748c4/alex_ruff},
description = {Taylor & Francis Online :: High-Speed X-ray Cineradiography for Analyzing Complex Kinematics in Living Insects - Synchrotron Radiation News - Volume 21, Issue 5},
doi = {10.1080/08940880802406091},
eprint = {http://www.tandfonline.com/doi/pdf/10.1080/08940880802406091},
interhash = {c55f1e59dfe441533b8307f94301acd8},
intrahash = {065835703f72d4d975128f2cc8a748c4},
journal = {Synchrotron Radiation News},
keywords = {data_analysis in-vivo myPUB radiography x-rays},
number = 5,
pages = {34-38},
timestamp = {2013-03-06T17:59:02.000+0100},
title = {High-Speed X-ray Cineradiography for Analyzing Complex Kinematics in Living Insects},
url = {http://www.tandfonline.com/doi/abs/10.1080/08940880802406091},
volume = 21,
year = 2008
}
@incollection{Zabler10,
abstract = {New X-ray sources of unmatched brilliance, like the superconducting undulator device at ESRF high-energy beamline ID15A, allow for micro-radioscopic investigations with time-resolution up to the micro-second range. Here we present first results of two recent in situ experiments: the visualization of semi-solid metal flow at an acquisition speed 500 frames/s (fps) and the collapse of pore walls in liquid metallic foams investigated at 40,000 fps. Both applications reveal important qualitative and quantitative facts about the dynamic processes in liquid and/or semi-solid metals which were inaccessible until now because of either the limited spatial and/or the limited time-resolution of conventional X-ray devices. Thus, semi-solid slurry is observed to break into small particle clusters when injected at high speed. The event of cell wall collapse in metal foams is found to take ~1?2 ms time, indicating that the dynamics of this system is inertia controlled.},
added-at = {2013-03-06T17:44:26.000+0100},
author = {Zabler, S. and Rack, A. and Garc\'ia-Moreno, F. and Ershov, A. and Baumbach, T. and Banhart, J.},
biburl = {http://www.bibsonomy.org/bibtex/22e00a42b0fce28feb0aa6d5d83a2549a/alex_ruff},
booktitle = {In-situ Studies with Photons, Neutrons and Electrons Scattering},
description = {Imaging Fast Processes in Liquid Metal Foams and Semi-Solid Alloys Using Synchrotron Radioscopy with Spatio-Temporal Micro-Resolution - Springer},
doi = {10.1007/978-3-642-14794-4_10},
editor = {Kannengiesser, Thomas and Babu, Sudarsanam Suresh and Komizo, Yu-ichi and Ramirez, Antonio J.},
interhash = {36121540659887150a6e2ca250841430},
intrahash = {2e00a42b0fce28feb0aa6d5d83a2549a},
isbn = {978-3-642-14793-7},
keywords = {data_analysis foams in-situ metal radiography x-rays myPUB},
language = {English},
pages = {149-158},
publisher = {Springer Berlin Heidelberg},
timestamp = {2013-03-06T17:44:26.000+0100},
title = {Imaging Fast Processes in Liquid Metal Foams and Semi-Solid Alloys Using Synchrotron Radioscopy with Spatio-Temporal Micro-Resolution},
url = {http://dx.doi.org/10.1007/978-3-642-14794-4_10},
year = 2010
}
@article{Rack10,
abstract = {Time-resolved imaging with penetrating radiation has an outstanding scientific value but its realisation requires a high density of photons as well as corresponding fast X-ray image detection schemes. Bending magnets and insertion devices of third generation synchrotron light sources offer a polychromatic photon flux density which is high enough to perform hard X-ray imaging with a spatio-temporal resolution up to the ?m-?s range. Existing indirect X-ray image detectors commonly used at synchrotron light sources can be adapted for fast image acquisition by employing CMOS-based digital high speed cameras already available on the market. Selected applications from life sciences and materials research underline the high potential of this high-speed hard X-ray microimaging approach.},
added-at = {2013-03-06T17:41:36.000+0100},
author = {Rack, A. and Garc\'ia-Moreno, F. and Schmitt, C. and Betz, O. and Cecilia, A. and Ershov, A. and Rack, T. and Banhart, J. and Zabler, S.},
biburl = {http://www.bibsonomy.org/bibtex/2f34039da2ec805f29e72b092b44594d3/alex_ruff},
description = {On the possibilities of hard X-ray imagin... [J Xray Sci Technol. 2010] - PubMed - NCBI},
doi = {10.3233/XST-2010-0273},
interhash = {a2baa5feb47acacdf63572e11026954f},
intrahash = {f34039da2ec805f29e72b092b44594d3},
journal = {J Xray Sci Technol},
keywords = {insects radiography x-rays myPUB},
number = 4,
pages = {429-441},
pmid = {21045279},
timestamp = {2013-03-06T17:41:36.000+0100},
title = {On the possibilities of hard X-ray imaging with high spatio-temporal resolution using polychromatic synchrotron radiation},
url = {http://www.ncbi.nlm.nih.gov/pubmed/21045279},
volume = 18,
year = 2010
}
@article{Altapova12,
abstract = {The imaging methods used at the ANKA Synchrotron Light Source (Institute for Synchrotron Radiation, Karlsruhe Institute of Technology) are briefly reviewed. Examples of recent applications of the phase-contrast imaging method using a grating interferometer and fast radiography with optic flow data analysis to study static and moving biological objects are presented.},
added-at = {2013-03-06T17:37:33.000+0100},
author = {Altapova, V.R. and Ershov, A. and Rolo, T.d.S. and Reznikova, E. and Mohr, J. and Pivovarov, Yu.L. and Pichugin, V.F. and Baumbach, G.T.},
biburl = {http://www.bibsonomy.org/bibtex/25161c2a9b51d8e3a6c20d0bd2f8e564a/alex_ruff},
description = {Imaging methods and their application at the ANKA synchrotron light source - Springer},
doi = {10.1134/S1027451012050035},
interhash = {2916dbf5da2d098d472194aeed9be074},
intrahash = {5161c2a9b51d8e3a6c20d0bd2f8e564a},
issn = {1027-4510},
journal = {Journal of Surface Investigation. X-ray, Synchrotron and Neutron Techniques},
keywords = {radiography tomography x-rays myPUB},
language = {English},
number = 3,
pages = {394-397},
publisher = {SP MAIK Nauka/Interperiodica},
timestamp = {2013-03-06T17:37:33.000+0100},
title = {Imaging methods and their application at the ANKA synchrotron light source},
url = {http://dx.doi.org/10.1134/S1027451012050035},
volume = 6,
year = 2012
}
@article{Myagotin12,
abstract = {A novel image-processing procedure is proposed for the analysis of sequences of two-dimensional projection images. Sudden events like the merging of bubbles in an evolving foam can be detected and spatio-temporally located in a given projection image sequence. The procedure is based on optical flow computations extended by a forward-backward check for each time step. Compared with prior methods, efficient suppression of noise or false events is achieved owing to uniform foam motion, and the reliability of detection is thus increased. The applicability of the proposed procedure in combination with synchrotron radiography is illustrated by a series of characteristic studies of foams of different kind. First, the detection of single-bubble collapses in aqueous foams is considered. Second, a spatial distribution of coalescence events in metals foamed in casting molds is estimated. Finally, the structural stability of polymer foams containing admixed solid nanoparticles is examined.},
added-at = {2013-03-06T17:33:31.000+0100},
author = {Myagotin, A. and Ershov, A. and Helfen, L. and Verdejo, R. and Belyaev, A. and Baumbach, T.},
biburl = {http://www.bibsonomy.org/bibtex/2d3b78f49f37e0e6b5caeb59101b25655/alex_ruff},
description = {Coalescence analysis for evolving foams... [J Synchrotron Radiat. 2012] - PubMed - NCBI},
doi = {10.1107/S0909049512015099},
interhash = {6897492852b9debb2312ee662c1bd6c7},
intrahash = {d3b78f49f37e0e6b5caeb59101b25655},
journal = {J Synchrotron Radiat},
keywords = {data_analysis foams radiography x-rays myPUB},
month = jul,
number = {Pt 4},
pages = {483-491},
pmid = {22713878},
timestamp = {2013-03-06T17:33:31.000+0100},
title = {Coalescence analysis for evolving foams via optical flow computation on projection image sequences},
url = {http://www.ncbi.nlm.nih.gov/pubmed/22713878},
volume = 19,
year = 2012
}
@article{Zabler13,
abstract = {Semi-solid melts exhibit a very unpredictable rheology and filling dynamics, when injected into thin-walled components. Optimization of the process requires an insight into the casting process during injection. For this purpose we injected semi-solid an Al?Ge alloy into two different thin channel geometries while recording high resolution radiographs at fast frame rates (up to 1000 images per s). Comparison of a bottleneck channel, which has previously been used for slower experiments, with a right-angle turn geometry reveals a significant influence of the channel shape on the flow behaviour of the particle?liquid mixture. While the bottleneck is quickly sealed with densified solid, turbulences in the right-angle turn apparently permit solid particles and clusters to move conjointly with the liquid and thus achieve a more complete filling. Single particle trajectories and rapid break-up of solid skeletons in such a system have been observed for the first time in situ.},
added-at = {2013-03-06T17:31:35.000+0100},
author = {Zabler, S. and Ershov, A. and Rack, A. and Garc\'ia-Moreno, F. and Baumbach, T. and Banhart, J.},
biburl = {http://www.bibsonomy.org/bibtex/20ed0af1972f5bde386a5695cf6ac7e57/alex_ruff},
description = {ScienceDirect.com - Acta Materialia - Particle and liquid motion in semi-solid aluminium alloys: A quantitative in situ microradioscopy study},
doi = {10.1016/j.actamat.2012.10.047},
interhash = {6171b3e0e17bbd82d673d9c937aa3257},
intrahash = {0ed0af1972f5bde386a5695cf6ac7e57},
issn = {1359-6454},
journal = {Acta Materialia},
keywords = {data_analysis in-situ radiography myPUB},
number = 4,
pages = {1244 - 1253},
timestamp = {2013-03-06T17:31:35.000+0100},
title = {Particle and liquid motion in semi-solid aluminium alloys: A quantitative in situ microradioscopy study},
url = {http://www.sciencedirect.com/science/article/pii/S135964541200794X},
volume = 61,
year = 2013
}
@article{Bruhn05a,
abstract = {Differential methods belong to the most widely used techniques for optic flow computation in image sequences. They can be classified into local methods such as the Lucas?Kanade technique or Bigün's structure tensor method, and into global methods such as the Horn/Schunck approach and its extensions. Often local methods are more robust under noise, while global techniques yield dense flow fields. The goal of this paper is to contribute to a better understanding and the design of novel differential methods in four ways; (i) We juxtapose the role of smoothing/regularisation processes that are required in local and global differential methods for optic flow computation. (ii) This discussion motivates us to describe and evaluate a novel method that combines important advantages of local and global approaches: It yields dense flow fields that are robust against noise. (iii) Spatiotemporal and nonlinear extensions as well as multiresolution frameworks are presented for this hybrid method. (iv) We propose a simple confidence measure for optic flow methods that minimise energy functionals. It allows to sparsify a dense flow field gradually, depending on the reliability required for the resulting flow. Comparisons with experiments from the literature demonstrate the favourable performance of the proposed methods and the confidence measure.},
added-at = {2013-05-13T16:14:42.000+0200},
author = {Bruhn, Andr\'es and Weickert, Joachim and Schn\"orr, Christoph},
biburl = {http://www.bibsonomy.org/bibtex/2f988fad51d46fb99ab13c69f622cf058/alex_ruff},
description = {Lucas/Kanade Meets Horn/Schunck: Combining Local and Global Optic Flow Methods - Springer},
doi = {10.1023/B:VISI.0000045324.43199.43},
interhash = {943849e3933fd76b40021694997f16ec},
intrahash = {f988fad51d46fb99ab13c69f622cf058},
issn = {0920-5691},
journal = {International Journal of Computer Vision},
keywords = {optical_flow},
language = {English},
number = 3,
pages = {211-231},
publisher = {Kluwer Academic Publishers},
timestamp = {2013-05-13T16:14:42.000+0200},
title = {Lucas/Kanade Meets Horn/Schunck: Combining Local and Global Optic Flow Methods},
url = {http://dx.doi.org/10.1023/B%3AVISI.0000045324.43199.43},
volume = 61,
year = 2005
}