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This work describes a vision-based approach to recognize scene in the indoor environment. The proposed method represents each scene captured by a pan-tilt-zoom (PTZ) camera with a blob model using spatial probabilistic modeling. Although the details of the scene covered by the camera are lost, this model is efficient in memorizing the scene characteristics and is robust against image distortions....
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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