3D fragment reassembly using integrated template guidance and fracture-region matching
This paper studies matching of fragmented objects to recompose their original geometry. Solving this geometric reassembly problem has direct applications in archaeology and forensic investigation in the computer-aided restoration of damaged artifacts and evidence. We develop a new algorithm to effectively integrate both guidance from a template and from matching of adjacent pieces' fracture-regions. First, we compute partial matchings between fragments and a template, and pairwise matchings among fragments. Many potential matches are obtained and then selected/refined in a multi-piece matching stage to maximize global groupwise matching consistency. This pipeline is effective in composing fragmented thin-shell objects containing small pieces, whose pairwise matching is usually unreliable and ambiguous and hence their reassembly remains challenging to the existing algorithms.
Publication Source (Journal or Book title)
Proceedings of the IEEE International Conference on Computer Vision
Zhang, K., Yu, W., Manhein, M., Waggenspack, W., & Li, X. (2015). 3D fragment reassembly using integrated template guidance and fracture-region matching. Proceedings of the IEEE International Conference on Computer Vision, 2015 International Conference on Computer Vision, ICCV 2015, 2138-2146. https://doi.org/10.1109/ICCV.2015.247