Surface Registration via Foliation

Xiaopeng Zheng, Chengfeng Wen, Na Lei, Ming Ma, Xianfeng Gu; The IEEE International Conference on Computer Vision (ICCV), 2017, pp. 938-947

Abstract


This work introduces a novel surface registration method based on foliation. A foliation decomposes the surface into a family of closed loops, such that the decomposition has local tensor product structure. By projecting each loop to a point, the surface is collapsed into a graph. Two homeomorphic surfaces with consistent foliations can be registered by first matching their foliation graphs, then matching the corresponding leaves. This foliation based method is capable of handling surfaces with complicated topologies and large non-isometric deformations, rigorous with solid theoretic foundation, easy to implement, robust to compute. The result mapping is diffeomorphic. Our experimental results show the efficiency and efficacy of the proposed method.

Related Material


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[bibtex]
@InProceedings{Zheng_2017_ICCV,
author = {Zheng, Xiaopeng and Wen, Chengfeng and Lei, Na and Ma, Ming and Gu, Xianfeng},
title = {Surface Registration via Foliation},
booktitle = {The IEEE International Conference on Computer Vision (ICCV)},
month = {Oct},
year = {2017}
}