Viewpoint Information-Theoretic Measures for 3D Shape Similarity
Xavier Bonaventura1; Jianwei Guo2; Weiliang Meng2; Miquel Feixas1; Xiaopeng Zhang2; Mateu Sbert1
2013
会议名称12th ACM International Conference on Virtual Reality Continuum and Its Applications in Industry(VRCAI2013)
会议录名称12th ACM International Conference on Virtual Reality Continuum and Its Applications in Industry(VRCAI2013)
会议日期2013-11-17
会议地点Hongkong, China
摘要
We present an information-theoretic framework to compute the shape similarity between 3D polygonal models. From an information channel between a sphere of viewpoints and the polygonal mesh of a model, an information sphere is obtained and used as a shape descriptor of the model. Given two models, the minimum distance between their information spheres, the distance between their information histograms, and the difference of their mutual information are introduced as methods to calculate the similarity matrix between 3D models. The performance of these techniques is tested using the Princeton Shape Benchmark database.
关键词Shape Similarity Information Theory Mutual Information
收录类别EI
文献类型会议论文
条目标识符http://ir.ia.ac.cn/handle/173211/10794
专题模式识别国家重点实验室_多媒体计算与图形学
通讯作者Weiliang Meng
作者单位1.Graphics and Imaging Laboratory, University of Girona, Spain
2.NLPR-LIAMA, Institute of Automation, CAS, China
推荐引用方式
GB/T 7714
Xavier Bonaventura,Jianwei Guo,Weiliang Meng,et al. Viewpoint Information-Theoretic Measures for 3D Shape Similarity[C],2013.
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