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      • Faculty of Engineering
      • Department of Electrical and Electronics Engineering
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      Object based 3-D motion and structure estimation

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      Author(s)
      Alatan, A. Aydın
      Onural, Levent
      Date
      1996
      Source Title
      Proceedings of the International Conference on Image Processing, IEEE 1995
      Publisher
      IEEE
      Pages
      390 - 393
      Language
      English
      Type
      Conference Paper
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      Abstract
      Motion analysis is the most crucial part of object-based coding. A motion in 3-D environment can be analyzed better by using a 3-D motion model compared to its 2-D counterpart and hence may improve coding efficiency. Gibbs formulated joint segmentation and estimation of 2-D motion not only improves performance, but also generates robust point correspondences which are necessary for linear 3-D motion estimation algorithms. Estimated 3-D motion parameters are used to find the structure of the previously segmented objects by minimizing another Gibbs energy. Such an approach achieves error immunity compared to linear algorithms. Experimental results are promising and hence the proposed motion and structure analysis method is a candidate to be used in object-based (or even knowledge-based) video coding schemes.
      Keywords
      Algorithms
      Gibbs free energy
      Image compression
      Image segmentation
      Knowledge based systems
      Mathematical models
      Optical flows
      Parameter estimation
      Three dimensional
      Vectors
      Exponential joint distribution
      Motion analysis
      Motion estimation algorithms
      Object segmentation
      Image coding
      Permalink
      http://hdl.handle.net/11693/27755
      Published Version (Please cite this version)
      http://doi.org/10.1109/ICIP.1995.529728
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      • Department of Electrical and Electronics Engineering 3702
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