Photogrammetric Reconstruction of a Stolen Statue

Z. Liu1,2, E.L. Doubrovski1, J.M.P. Geraedts1, W. Wang3,2, Y. Yam2, C.C.L. Wang4,
1Delft University of Technology, 2Centre for Perceptual and Interactive Intelligence (CPII), 3The Chinese University of Hong Kong, 4The University of Manchester
Paper

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.

Video

Statue Toy

BibTeX

@article{liu2023statue,
  author    = {Liu, Zishun and Doubrovski, Eugeni L. and Geraedts, Jo M. P. and Wang, Wenting and Yam, Yeung and Wang, Charlie C. L.},
  title     = {Photogrammetric Reconstruction of a Stolen Statue},
  journal   = {Eurographics Short Papers},
  year      = {2023},
}

Acknowledgements

This project is supported by the Centre for Perceptual and Interactive Intelligence (CPII) Limited in Hong Kong.

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