1 December 1991 Three-dimensional target recognition from fusion of dense range and intensity images
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Abstract
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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Manuel Ramirez, Manuel Ramirez, Sunanda Mitra, Sunanda Mitra, } "Three-dimensional target recognition from fusion of dense range and intensity images", Proc. SPIE 1567, Applications of Digital Image Processing XIV, (1 December 1991); doi: 10.1117/12.50851; https://doi.org/10.1117/12.50851
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