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      • Faculty of Economics, Administrative And Social Sciences
      • Department of Psychology
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      Object rigidity and reflectivity identification based on motion analysis

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      Author
      Zang, D.
      Schrater P.R.
      Doerschner, Katja
      Date
      2010
      Source Title
      2010 IEEE International Conference on Image Processing
      Print ISSN
      1522-4880
      Publisher
      IEEE
      Pages
      4573 - 4576
      Language
      English
      Type
      Conference Paper
      Item Usage Stats
      131
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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.
      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
      Permalink
      http://hdl.handle.net/11693/28495
      Published Version (Please cite this version)
      http://dx.doi.org/10.1109/ICIP.2010.5652288
      Collections
      • Department of Psychology 157
      • National Magnetic Resonance Research Center (UMRAM) 175
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