Object rigidity and reflectivity identification based on motion analysis
Author
Zang, D.
Schrater P.R.
Doerschner, Katja
Date
2010Source Title
2010 IEEE International Conference on Image Processing
Print ISSN
1522-4880
Publisher
IEEE
Pages
4573 - 4576
Language
English
Type
Conference PaperItem Usage Stats
131
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views
70
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downloads
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.
Keywords
Mutual informationOptic 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
Permalink
http://hdl.handle.net/11693/28495Published Version (Please cite this version)
http://dx.doi.org/10.1109/ICIP.2010.5652288Collections
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