Graph Edit Distance Based on Triangle-Stars Decomposition for Deformable 3D Objects Recognition

3DV '15 Proceedings of the 2015 International Conference on 3D Vision(2015)

引用 7|浏览18
暂无评分
摘要
We consider the problem of comparing deformable 3D objects represented by graphs, i.e., Triangular tessellations. We propose a new algorithm to measure the distance between triangular tessellations using a new decomposition of triangular tessellations into triangle-Stars. The proposed algorithm assures a minimum number of disjoint triangle-Stars, offers a better measure by covering a larger neighborhood and uses a set of descriptors which are invariant or at least oblivious under most common deformations. We prove that the proposed distance is a pseudo-metric. We analyse its time complexity and we present a set of experimental results which confirm the high performance and accuracy of our algorithm.
更多
查看译文
关键词
computational complexity,computational geometry,graph theory,object recognition,deformable 3D object recognition,graph edit distance,pseudo-metric,time complexity,triangle-star decomposition,triangular tessellation,3D objects,Deformable objects,Edit distance,Graph decomposition,Graph matching,Pattern recognition,Triangle-Stars
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络
Chat Paper
正在生成论文摘要