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Point set registration based on feature point constraints

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Abstract

Point set registration is a fundamental task in computer graphics. We present a novel volumetric registration method for three-dimensional solid shapes. The input data include a pair of three-dimensional point sets: a point set of a complete bone and another one from an incomplete bone, such as a hand bone with a hole in the wrist. We achieve the registration by deforming the complete model toward the incomplete model in the guidance of feature point constraints. Our method first performs an initial alignment owing to given data in an arbitrary position, orientation and scale, and then performs a volumetric registration that utilizes as much volumetric information as possible. Our solution is more adaptive to different sceneries such as the volume data have foramen, outlier and hole, and more accurate in comparison with both state-of-the-art rigid and non-rigid registration algorithms.

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Funding

This research was supported by Natural Science Foundation of Shandong province (Nos. ZR2019MF 013, ZR2019BF026), Project of Jinan Scientific Research Leader’s Laboratory (No. 2018GXRC023), and Doctoral Program of University of Jinan (No. 160100313) supported this work. Funding was provided by National Natural Science Foundation of China (Grant Nos. 61373054, 61472164, 61573166, and 61572230).

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Authors and Affiliations

  1. School of Information Science and Engineering, University of Jinan, Jinan, People’s Republic of China

    Mai Li, Mingxuan Zhang, Dongmei Niu, Muhammad Umair Hassan & Xiuyang Zhao

  2. School of Computing Science and Information Engineering, Qilu Institute of Technology, Jinan, People’s Republic of China

    Na Li

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  1. Mai Li
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  2. Mingxuan Zhang
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  3. Dongmei Niu
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  4. Muhammad Umair Hassan
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  5. Xiuyang Zhao
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  6. Na Li
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Correspondence to Xiuyang Zhao.

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Li, M., Zhang, M., Niu, D. et al. Point set registration based on feature point constraints. Vis Comput 36, 1725–1738 (2020). https://doi.org/10.1007/s00371-019-01771-x

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