Photogrammetric Reconstruction of a Stolen Statue

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Date
2023
Journal Title
Journal ISSN
Volume Title
Publisher
The Eurographics Association
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.
Description

CCS Concepts: Computing methodologies → Reconstruction; Mesh models

        
@inproceedings{
10.2312:egs.20231000
, 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
} }
Citation