Laser & Optoelectronics Progress, Volume. 56, Issue 8, 081005(2019)

Correspondence Calculation of Model Cluster by Functional Mapping Combined with Cycle-Consistency Constraints

Jun Yang* and Ming Lei
Author Affiliations
  • School of Electronic and Information Engineering, Lanzhou Jiaotong University, Lanzhou, Gansu 730070, China
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    Based on by the Dijkstra farthest point sampling (DFPS) algorithm, the initial sampling points of the three dimensional (3D) model cluster are obtained. The correspondence between two models is obtained by the calculation based on the functional mapping theory. The matching between two models is transformed into the multi way correspondence of a 3D model cluster by use of the cycle consistency constraints. The experimental results show that the proposed algorithm can reduce the isometric errors of the correspondence among 3D models to a certain extent. Moreover, this algorithm is not only capable of the correspondence calculation of two models, but also the correspondence calculation of an isometric or approximately isometric 3D model cluster.

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    Jun Yang, Ming Lei. Correspondence Calculation of Model Cluster by Functional Mapping Combined with Cycle-Consistency Constraints[J]. Laser & Optoelectronics Progress, 2019, 56(8): 081005

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    Paper Information

    Category: Image Processing

    Received: Oct. 17, 2018

    Accepted: Nov. 13, 2018

    Published Online: Jul. 26, 2019

    The Author Email: Yang Jun (yangj@mail.lzjtu.cn)

    DOI:10.3788/LOP56.081005

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