Cellular neural networks for the stereo matching problem

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Abstract

The applicability of the Cellular Neural Network (CNN) paradigm to the problem of recovering informations on the tridimensional structure of the environment is investigated. The approach proposed is the stereo matching of video images. The starting point of this work is the Zhou-Chellappa neural network implementation for the same problem. The CNN based system we present here yields the same results as the previous approach, but without the many existing drawbacks.
Original languageEnglish
Publication statusPublished - 1996
EventProceedings of the 1996 4th IEEE International Workshop on Cellular Neural Networks, and Their Applications, CNNA-96 - , Unknown
Duration: 1 Jan 1996 → …

Conference

ConferenceProceedings of the 1996 4th IEEE International Workshop on Cellular Neural Networks, and Their Applications, CNNA-96
CountryUnknown
Period1/1/96 → …

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Taraglio, S., & Zanela, A. (1996). Cellular neural networks for the stereo matching problem. Paper presented at Proceedings of the 1996 4th IEEE International Workshop on Cellular Neural Networks, and Their Applications, CNNA-96, Unknown.