Title
An automatic assembly and completion framework for fragmented skulls
Document Type
Conference Proceeding
Publication Date
12-1-2011
Abstract
We develop a completion pipeline for fragmented and damaged skulls. The goal of this work is to convert scanned incomplete skull fragments to a complete skull model for subsequent forensic or archeological tasks such as facial reconstruction. The proposed assembly and completion algorithms can also be used to repair other fragmented objects with inherent symmetry. A two-step assembly framework is proposed: (1) rough assembly by an ICP-like template matching algorithm integrated with the slippage features and spin-image descriptors; (2) assembly refinement by a global optimization on least square transformation error (LSTE) of break-curves. The assembled skull is finally repaired by a symmetry-based completion algorithm. Experiments on repairing scanned skull fragments demonstrate the efficacy and robustness of this framework. © 2011 IEEE.
Publication Source (Journal or Book title)
Proceedings of the IEEE International Conference on Computer Vision
First Page
2532
Last Page
2539
Recommended Citation
Yin, Z., Wei, L., Li, X., & Manhein, M. (2011). An automatic assembly and completion framework for fragmented skulls. Proceedings of the IEEE International Conference on Computer Vision, 2532-2539. https://doi.org/10.1109/ICCV.2011.6126540