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

Manuel Ramirez, Sunanda Mitra

Research output: Contribution to journalConference articlepeer-review


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 analyisis 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.

Original languageEnglish
Pages (from-to)632-637
Number of pages6
JournalProceedings of SPIE - The International Society for Optical Engineering
StatePublished - Dec 1 1991
EventApplications of Digital Image Processing XIV 1991 - San Diego, United States
Duration: Jul 21 1991 → …


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