Knowledge Commons of Institute of Automation,CAS
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 | 多模态人工智能系统全国重点实验室_多媒体计算 |
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 |
通讯作者单位 | 模式识别国家重点实验室 |
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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文件名称/大小 | 文献类型 | 版本类型 | 开放类型 | 使用许可 | ||
183-bonaventura.pdf(3305KB) | 会议论文 | 开放获取 | CC BY-NC-SA | 浏览 下载 |
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