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<!DOCTYPE html>
<html lang="en">
<head>
<title>Home | 3D Data Atlas</title>
<meta charset="UTF-8">
<meta name="viewport" content="width=device-width, initial-scale=1.0">
<link rel="stylesheet" href="/styles/header.css">
<link rel="stylesheet" href="/styles/body.css">
<link rel="stylesheet" href="/styles/window.css">
<link rel="shortcut icon" href="/resources/globe.png">
<link rel="shortcut icon" href="/resources/globe.png">
</head>
<body>
<header class="header">
<div>
<ul class="navbar">
<li><a href="contribute.html">Contribute</a></li>
<li class="dropdown">
<a href="scans.html" class="dropbtn">Scans</a>
<div class="dropdown-content">
<!-- <a href="/scans.html/">Blue Glitter Star</a>
<a href="/scans/">Skulls</a>
<a href="/scans/">Gold star</a> -->
</div>
</li>
<li><a href="index.html">About</a></li>
</ul>
</div>
<div class="titlerow">
<img src="/resources/globe.png" class="icon" alt="3D Data Atlas Icon">
<h1> 3D Scanning Atlas </h1>
</div>
</header>
<div class="description">
<h3 class="descriptionhead">Introduction</h3>
<p>
The University of California (UC) Libraries 3D Scanning Data Atlas is a collaboration among librarians and
library
staff at UC Santa Cruz, UC Davis, UC Riverside, UC Los Angeles, UC San Francisco, and UC Berkeley. All
participating
libraries are part of the University of California 3D Data Common Knowledge Group (CKG). The goal of the
atlas is to
create a collection of 3D scanned reference objects using different 3D scanning technologies available at UC
Libraries.
<br> <br>
The 3D Scanning Data Atlas provides qualitative, quantitative, and visual information to effectively
evaluate
how the 3D scanners available across the UC Library system interact with different types of materials and
how they
compare to one another. The objects chosen for 3D scanning represent various material properties important
in the 3D
scanning process. We hope the 3D Scanning Data Atlas enables campus constituents to make informed decisions
about
which 3D scanning option best fits their education and research needs and provides librarians and library
staff with
data to make informed purchases.
</p>
</div>
<div class="description">
<h3 class="descriptionhead">Objects 3D Scanned</h3>
<p>
We chose seven objects based on the following requirements: low-cost; easily accessible and
relatively
future-proof for reproduction; represent different sizes, materials, interior structures, and
reflectivity.
<br>
<br>
The following objects were purchased and shipped to five of the participating UC Libraries:
<br>
<ul>
<li>Nut bolt thread gauge for capturing measurement accuracy</li>
<li>Stainless steel hex head screw for capturing measurement accuracy and shine</li>
<li>Human skull model for capturing cavities and crevices</li>
<li>Fuzzy dice for capturing fuzzy texture</li>
<li>Ornaments (silver and blue) for capturing multiple colors and shine</li>
<li>Christmas box ornaments (gold and black/white) for capturing shine, cloth, and string</li>
<li>Chess piece for capturing frosted glass</li>
<li>Chess piece, clear, no scanner able to capture.</li>
</ul>
<br>
Funding for the 3D Scanning Data Atlas project was provided through a Librarians Association of the
University of
California (LAUC) Mini Grant.
</p>
</div>
<div class="description">
<h3 class="descriptionhead">3D scanners</h3>
The 3D Data Atlas includes a range of 3D scanners currently available across UC Libraries.
The following
criteria were identified for comparing the 3D scanners: resolution; ability to capture
transparency/semi-transparency, cavities, and reflectivity; time to 3D scan; and price.
<br>The following 3D scanners and digital cameras were used to use scan the objects at the
respective libraries:
<ul>
<li>Artec Space Spider (UCLA)</li>
<li>Canon 6D (UCSC)</li>
<li>Einscan-SE (UCR)</li>
<li>Einscan-SP (UCSF)</li>
<li>Einscan Pro (UCB)</li>
<li>Einscan Pro 2X with HD attachment (UCSC)</li>
<li>Einscan Pro 2X with Color attachment (UCSC)</li>
<li>iPhone 13 (UCSF, UCSD, UCLA, UCSC)</li>
</ul>
</div>
<div class="description">
<h3 class="descriptionhead">3D scanning process</h3>
The 3D CKG members have a range of experience using 3D scanning technology. 3D CKG
members agreed on the
following process that would be beneficial for both novice and experts:
<br>
<ul>
<li>Use the 3D scanner manufacturer’s software to 3D scan whenever possible
</li>
<li> Use default settings in 3D scanning software whenever possible
</li>
<li>Follow manufacturer documentation rather than bringing in any personal knowledge
about scanning
</li>
<li> Use only lighting from environment and avoid using additional lighting
</li>
<li> Time how long it takes to complete the 3D scanning process from start to finish
</li>
<li> Export as both OBJ and STL whenever possible
</li>
</ul>
<br>
The 3D CKG members acknowledge that there are a number of ways to improve the outcome of
3D scans (e.g., using
additional lighting, powder coating, etc). We intentionally did not apply previous 3D
scanning knowledge or
techniques. Rather, we simply followed the manufacturers’ instructions. The intention is
to produce 3D models
for the Atlas that someone with minimal 3D scanning experience could expect.
<br>
<b> Add note about adding better scans at a future date? </b>
</div>
<div class="description">
<h3 class="descriptionhead">Comparison of 3D scanners by object</h3>
The 3D Scanning Data Atlas is powered by the Potree Viewer and is hosted by
UCLA. See the figure below for
instructions on using the viewer.
<br> <br>
Below are the OBJs produced for each of the nine objects:
<b>
<br>
<a href="http://pointcloud.ucla.edu/3DAtlas/gaugetool.html"> Nut bolt thread gauge</a>
<br>
<a href="http://pointcloud.ucla.edu/3DAtlas/bolt.html">Stainless steel hex head screw </a>
<br>
<a href=
"http://pointcloud.ucla.edu/3DAtlas/skull.html"> Human skull model</a>
<br> <a href="http://pointcloud.ucla.edu/3DAtlas/fuzzydice.html"
>Fuzzy Die</a>
<a href="http://pointcloud.ucla.edu/3DAtlas/silverstar.html">Silver star ornament</a>
<br>
<a href="http://pointcloud.ucla.edu/3DAtlas/blueglitterstar.html"> Blue glitter star ornament</a>
<br>
<a href=" http://pointcloud.ucla.edu/3DAtlas/goldpresent.html">Gold Christmas box ornament</a>
<br>
<a href="http://pointcloud.ucla.edu/3DAtlas/bwpresent.html">Black & white Christmas box ornament</a>
<br>
<a href="http://pointcloud.ucla.edu/3DAtlas/frostedknight.html">Frosted glass chess piece</a>
<br>
</b>
</div>
<div class="description">
<h3 class="descriptionhead">Conclusion</h3>
<ul>
<li>
Found that inexpensive 3D scanners can produce usable scans based on the characteristics of the object being scanned.
</li>
<li>High-power, expensive 3D scanners tend to consistently produce better results.
</li>
<li>University of California 3D Data Common Knowledge Group learned of the 3D scanning capabilities across UC Libraries. This can be helpful for collaboration and research within the UC Library system.
</li>
<li>
We hope the 3D Scanning Data Atlas enables campus constituents to make informed decisions about which 3D scanning option best fits their education and research needs and provides librarians and library staff with data to make informed purchases.
</li>
</ul>
We want to emphasize that this Atlas was designed so that other institutions can contribute their scanning methods to the Atlas. To do so, they should contact dougdaniels@library.ucla.edu.
We noticed that a lot of scans were totally unusable, while also notbeing a true representation of what we knew
the scanners to be capable of. Thus: We are going to rescan some.
</div>
<div class="description">
<h2 class="descriptionhead">Acknowledgements</h2>
<i>Add previous and current members of UC 3D CKG ; Format: spelled out or abbrev.?</i><br>
<br><b>UCB Acknowledges:</b> Annalise Phillips (past CKG member)
<br><b>UCLA Acknowledges:</b> Francesca Albrezzi, Bianca Badajos, Doug Daniels, Chris Gilman, and the Data Science Center
<br><b>UCSC Acknowledges: </b>Kristina Golubiewski-Davis, Joshua Tuthill, Dino Raphael, and Nami Lee
<br><b>UCSF Acknowledges:</b> Dylan Romero and Jenny Tai
<br><b>UCR Acknowledges: </b>Brendon Wheeler and Alvaro Alvarez
<br>
<br>3D Data Atlas is hosted through pointcloud.ucla.edu
<br>Funding for the 3D Data Atlas project was provided through a Librarians Association of the University of California (LAUC) Mini Grant.
</i>
</div>
</body>
</html>