Institutional Repository of Chinese Acad Sci, Inst Automat, Natl Lab Pattern Recognit, Beijing 100190, Peoples R China
Global and Local Isometry-Invariant Descriptor for 3D Shape Comparison and Partial Matching | |
Huai-Yu Wu; Hongbin Zha; Tao Luo; Xu-Lei Wang; Songde MA | |
2010 | |
会议名称 | IEEE Conference on Computer Vision and Pattern Recognitionn (CVPR 2010) |
会议录名称 | IEEE Conference on Computer Vision and Pattern Recognitionn (CVPR 2010) |
会议日期 | 2010 |
会议地点 | San Francisco, California |
摘要 |
In this paper, based on manifold harmonics, we propose
a novel framework for 3D shape similarity comparison and
partial matching. First, we propose a novel symmetric meanvalue
representation to robustly construct high-quality manifold
harmonic bases on nonuniform-sampling meshes. Then,
based on the manifold harmonic bases constructed, a novel
shape descriptor is presented to capture both of global and local
features of 3D shape. This feature descriptor is isometryinvariant,
i.e., invariant to rigid-body transformations and
non-rigid bending. After characterizing 3D models with the
shape features, we perform 3D retrieval with a up-to-date discriminative
kernel. This kernel is a dimension-free approach
to quantifying the similarity between two unordered featuresets,
thus especially suitable for our high-dimensional feature
data. Experimental results show that our framework can be effectively
used for both comprehensive comparison and partial
matching among non-rigid 3D shapes. |
关键词 | Global And Local Isometry-invariant Descriptor For 3d Shape Comparison And Partial Matching |
文献类型 | 会议论文 |
条目标识符 | http://ir.ia.ac.cn/handle/173211/12141 |
专题 | 模式识别国家重点实验室_先进时空数据分析与学习 |
通讯作者 | Huai-Yu Wu |
作者单位 | NLPR, CASIA |
推荐引用方式 GB/T 7714 | Huai-Yu Wu,Hongbin Zha,Tao Luo,et al. Global and Local Isometry-Invariant Descriptor for 3D Shape Comparison and Partial Matching[C],2010. |
条目包含的文件 | 条目无相关文件。 |
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