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Automatic and Robust Skull Registration Based on Discrete Uniformization
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Authors: Junli Zhao, Xin Qi, Chengfeng Wen, Na Lei, Xianfeng Gu
Where published: ICCV 2019 10
Document: PDF DOI
Abstract URL: http://openaccess.thecvf.com/content_ICCV_2019/html/Zhao_Automatic_and_Robust_Skull_Registration_Based_on_Discrete_Uniformization_ICCV_2019_paper.html
Skull registration plays a fundamental role in forensic science and is crucial for craniofacial reconstruction. The complicated topology, lack of anatomical features, and low quality reconstructed mesh make skull registration challenging. In this work, we propose an automatic skull registration method based on the discrete uniformization theory, which can handle complicated topologies and is robust to low quality meshes. We apply dynamic Yamabe flow to realize discrete uniformization, which modifies the mesh combinatorial structure during the flow and conformally maps the multiply connected skull surface onto a planar disk with circular holes. The 3D surfaces can be registered by matching their planar images using harmonic maps. This method is rigorous with theoretic guarantee, automatic without user intervention, and robust to low mesh quality. Our experimental results demonstrate the efficiency and efficacy of the method.
Where published: ICCV 2019 10
Document: PDF DOI
Abstract URL: http://openaccess.thecvf.com/content_ICCV_2019/html/Zhao_Automatic_and_Robust_Skull_Registration_Based_on_Discrete_Uniformization_ICCV_2019_paper.html
Skull registration plays a fundamental role in forensic science and is crucial for craniofacial reconstruction. The complicated topology, lack of anatomical features, and low quality reconstructed mesh make skull registration challenging. In this work, we propose an automatic skull registration method based on the discrete uniformization theory, which can handle complicated topologies and is robust to low quality meshes. We apply dynamic Yamabe flow to realize discrete uniformization, which modifies the mesh combinatorial structure during the flow and conformally maps the multiply connected skull surface onto a planar disk with circular holes. The 3D surfaces can be registered by matching their planar images using harmonic maps. This method is rigorous with theoretic guarantee, automatic without user intervention, and robust to low mesh quality. Our experimental results demonstrate the efficiency and efficacy of the method.
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