In this paper we develop highly flexible  Timoshenko beam model for tracking large deformations in noisy data. We demonstrate that by neglecting some physical properties of Timoshenko beam, classical energy beam can be derived. The comparison of these two models in terms of their robustness and precision against noisy data is given. We demonstrate that Timoshenko beam model is more robust and precise for tracking large deformations in the presence of clutter and partial occlusions. The experiments using both synthetic and real image data are performed. In synthetic images we fit both models to noisy data and use Monte Carlo simulation to analyze their performance. In real images we track deformations of the pole vault, the rat whiskers and the car antenna.


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    Title :

    Comparing Timoshenko Beam to Energy Beam for Fitting Noisy Data


    Contributors:

    Conference:

    Asian Conference on Computer Vision ; 2007 ; Tokyo, Japan November 18, 2007 - November 22, 2007



    Publication date :

    2007-01-01


    Size :

    10 pages





    Type of media :

    Article/Chapter (Book)


    Type of material :

    Electronic Resource


    Language :

    English




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