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This paper presents an integrated framework for recognizing 3D human posture from 2D images. A flexible combinational algorithm motivated by the novel view expressed by Cyr and Kimia (2004) is proposed to generate the aspects of 3D human postures as the posture prototype using features extracted from the collected 2D images sampled at random intervals from the viewing sphere. Frequency and phase information...
This paper presents an integrated framework for recognizing 3D objects from 2D images. A flexible combinational algorithm motivated by the novel view expressed by Cyr and Kimia is proposed to generate the aspects of a 3D object as the object prototype using features extracted from the collected 2D images sampled at random intervals from the viewing sphere. Fourier descriptors of the sampled points...
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