dc.contributor.author | Liu, Zishun | en_US |
dc.contributor.author | Doubrovski, Eugeni L. | en_US |
dc.contributor.author | Geraedts, Jo M. P. | en_US |
dc.contributor.author | Wang, Wenting | en_US |
dc.contributor.author | Yam, Yeung | en_US |
dc.contributor.author | Wang, Charlie C. L. | en_US |
dc.contributor.editor | Babaei, Vahid | en_US |
dc.contributor.editor | Skouras, Melina | en_US |
dc.date.accessioned | 2023-05-03T06:02:47Z | |
dc.date.available | 2023-05-03T06:02:47Z | |
dc.date.issued | 2023 | |
dc.identifier.isbn | 978-3-03868-209-7 | |
dc.identifier.issn | 1017-4656 | |
dc.identifier.uri | https://doi.org/10.2312/egs.20231000 | |
dc.identifier.uri | https://diglib.eg.org:443/handle/10.2312/egs20231000 | |
dc.description.abstract | In this paper, we propose a method to reconstruct a digital 3D model of a stolen/damaged statue using photogrammetric methods. This task is challenging because the number of available photos for a stolen statue is in general very limited - especially the side/back view photos. Besides using standard structure-from-motion and multi-view stereo methods, we match image pairs with low overlap using sliding windows and maximize the normalized cross-correlation (NCC) based patch-consistency so that the image pairs can be well aligned into a complete model to build the 3D mesh surface. Our method is based on the prior of the planar side on the statue's pedestal, which can cover a large range of statues. We hope this work will motivate more research efforts for the reconstruction of those stolen/damaged statues and heritage preservation. | en_US |
dc.publisher | The Eurographics Association | en_US |
dc.rights | Attribution 4.0 International License | |
dc.rights.uri | https://creativecommons.org/licenses/by/4.0/ | |
dc.subject | CCS Concepts: Computing methodologies → Reconstruction; Mesh models | |
dc.subject | Computing methodologies → Reconstruction | |
dc.subject | Mesh models | |
dc.title | Photogrammetric Reconstruction of a Stolen Statue | en_US |
dc.description.seriesinformation | Eurographics 2023 - Short Papers | |
dc.description.sectionheaders | Procedural Modeling and Reconstruction | |
dc.identifier.doi | 10.2312/egs.20231000 | |
dc.identifier.pages | 1-4 | |
dc.identifier.pages | 4 pages | |
dcterms.references | https://doi.org/10.2312/gch.20201298 | |