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Dataset: Multi-resolution 3D rendering for high-performance Web AR

<p>The input data are the following four models: (i) Middlebury TempleRing [1] (ii) Human of CoRBS dataset [2]; (iii) Anton Memorial of Harvest4D consortium [3], and; (iv) Meteora site by Meteora Project [4].&nbsp;The 3D files are converted into the multiresolution format NXS of Nexus.js library [5], in its compressed&nbsp;format NXZ, in the compressed DRC format of Draco library [6] and in the binary gtTF format (GLB) with some optimizations using meshoptimizer library [7].&nbsp;</p> <p>&nbsp;</p> <p>&nbsp;</p> <ol> <li>Nair, N.S.; Nair, M.S. Multi-View Stereo Using Graph Cuts-Based Depth Refinement. <em>IEEE Signal Process. Lett</em>. <strong>2022</strong>, <em>29</em>, 1903&ndash;1907.</li> <li>Wasenm&uuml;ller, O.; Meyer, M.; Stricker, D. CoRBS: Comprehensive RGB-D Benchmark for SLAM Using Kinect V2. In Proceedings of IEEE Winter Conference on Applications of Computer Vision (WACV), New York, USA, 7 &ndash; 10 March 2016, pp. 1&ndash;7.</li> <li>Harvest 4D. Available Online: <a href="https://harvest4d.org">https://harvest4d.org</a> (accessed on 23 June 2023)</li> <li>Ioannidis, C.; Tallis, I.; Pastos, I.; Boutsi, A.M.; Verykokou, S.; Soile, S.; Tokmakidis, P.; Tokmakidis, K. A WEB-BASED PLATFORM FOR MANAGEMENT AND VISUALIZATION OF GEOMETRIC DOCUMENTATION PRODUCTS OF CULTURAL HERITAGE SITES, <em>ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci</em> <strong>2021</strong>, <em>V&ndash;2&ndash;2021</em>, 113&ndash;120.</li> <li> <p>Ponchio, F.; Dellepiane, M. Fast Decompression for Web-Based View-Dependent 3D Rendering. In Proceedings of the 20th International Conference on 3D Web Technology - Web3D &rsquo;15, Heraklion, Greece, 18-21 June 2015; pp. 199&ndash;207.</p> </li> <li> <p>Draco 3D data compression. Available online: https://google.github.io/draco/ (accessed on 23 June 2023)</p> </li> <li> <p>Meshoptimizer. Available online: <a href="https://github.com/zeux/meshoptimizer/tree/master">https://github.com/zeux/meshoptimizer/tree/master</a> (accessed on 23 June 2023)</p> </li> </ol>

ShareScore

36/100

Overall dataset sharing score

Score breakdown

These five areas show where the dataset supports — or may limit — practical reuse.

Stewardship
8
Harmonization
4
Access
16
Reuse readiness
8
Engagement
0

Topics