Three-dimensional target recognition from fusion of dense range and intensity images

Details Three-dimensional target recognition from fusion of dense range and intensity images Three-dimensional target recognition from fusion of dense range and intensity images

Dec 1991

adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=1991spie.1567..632r&link_type=abstract

Proc. SPIE Vol. 1567, p. 632-637, Applications of Digital Image Processing XIV, Andrew G. Tescher; Ed.

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This paper describes an approach of feature extraction from range and intensity data for three- dimensional model-based target recognition systems. The range image of the object under study is acquired using a methodology based on a passive stereo-vision model. A coarse to fine strategy is used to explore the features in the images, and cepstral analysis provides information about disparities between corresponding areas at each step. The surfaces of the 3- D target recovered from the passive stereo-vision model are represented by aspect graphs which are used in vector form as the input for a neural network classifier.

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