激光与光电子学进展, 2019, 56 (8): 081005, 网络出版: 2019-07-26
结合函数映射与循环一致性约束的模型簇对应关系计算 下载: 899次
Correspondence Calculation of Model Cluster by Functional Mapping Combined with Cycle-Consistency Constraints
机器视觉 模型簇对应关系 Dijkstra最远点采样算法 函数映射 循环一致性约束 machine vision model cluster correspondence Dijkstra farthest point sampling algorithm functional maps cycle-consistency constraints
摘要
基于DFPS(Dijkstra Farthest Point Sampling)算法,得到三维模型簇的初始采样点;利用函数映射理论,计算得到两个模型间的映射关系;利用循环一致性约束,将两两模型的映射关系转化为三维模型簇的多路对应关系。实验结果表明,本算法在一定程度上减小了三维模型间对应关系的等距误差,不仅可以实现两个模型间的对应关系计算,还适用于计算等距或近似等距的三维模型簇的对应关系。
Abstract
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.
杨军, 雷鸣. 结合函数映射与循环一致性约束的模型簇对应关系计算[J]. 激光与光电子学进展, 2019, 56(8): 081005. 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.