Object rigidity and reflectivity identification based on motion analysis

Date
2010
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Source Title
2010 IEEE International Conference on Image Processing
Print ISSN
1522-4880
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Publisher
IEEE
Volume
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Pages
4573 - 4576
Language
English
Type
Conference Paper
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Abstract

Rigidity and reflectivity are important properties of objects, identifying these properties is a fundamental problem for many computer vision applications like motion and tracking. In this paper, we extend our previous work to propose a motion analysis based approach for detecting the object's rigidity and reflectivity. This approach consists of two steps. The first step aims to identify object rigidity based on motion estimation and optic flow matching. The second step is to classify specular rigid and diffuse rigid objects using structure from motion and Procrustes analysis. We show how rigid bodies can be detected without knowing any prior motion information by using a mutual information based matching method. In addition, we use a statistic way to set thresholds for rigidity classification. Presented results demonstrate that our approach can efficiently classify the rigidity and reflectivity of an object. © 2010 IEEE.

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Keywords
Mutual information, Optic flow, Reflectivity, Rigidity, Computer vision applications, Fundamental problem, Matching methods, Motion analysis, Motion information, Mutual informations, Optic flow, Procrustes analysis, Reflectivity, Rigid body, Rigid objects, Structure from motion, Computer applications, Computer vision, Imaging systems, Motion estimation, Optical data processing, Reflection, Rigidity, Rigid structures
Citation
Published Version (Please cite this version)