Authors
Zishun Liu, Eugeni L. Doubrovski, Jo M.P. Geraedts, Wenting Wang, Yeung Yam, Charlie C.L. Wang
Video
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.
Paper
Bibtex
@inproceedings {Liu2023Prometheus,
booktitle = {Eurographics 2023 - Short Papers},
editor = {Babaei, Vahid and Skouras, Melina},
title = {{Photogrammetric Reconstruction of a Stolen Statue}},
author = {Liu, Zishun and Doubrovski, Eugeni L. and Geraedts, Jo M. P. and Wang, Wenting and Yam, Yeung and Wang, Charlie C. L.},
year = {2023},
publisher = {The Eurographics Association},
ISSN = {1017-4656},
ISBN = {978-3-03868-209-7},
DOI = {10.2312/egs.20231000}
}
Acknowledgements
The authors would like to thank
- the anonymous reviewers for their valuable comments;
- the Centre for Perceptual and Interactive Intelligence (CPII) Limited in Hong Kong for financial support;
- René & Peter van der Krogt for their written permission for using their photos;
- Ad Bercht for his written permission for using his photos.