Hierarchical vibrations for part-based recognition of complex objects |
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Authors: | Karin Engel [Author Vitae] Klaus D Toennies [Author Vitae] |
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Affiliation: | Department of Computer Science, Otto-von-Guericke University of Magdeburg, Universitaetsplatz 2, 39106 Magdeburg, Germany |
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Abstract: | We propose a technique for the recognition and segmentation of complex shapes in 2D images using a hierarchy of finite element vibration modes in an evolutionary shape search. The different levels of the shape hierarchy can influence each other, which can be exploited in top-down part-based image analysis. Our method overcomes drawbacks of existing structural approaches, which cannot uniformly encode shape variation and co-variation, or rely on training. We present results demonstrating that by utilizing a quality-of-fit function the model explicitly recognizes missing parts of a complex shape, thus allowing for categorization between shape classes. |
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Keywords: | Segmentation Part-based recognition Shape decomposition FEM Optimization |
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