Cellular neural networks for the stereo matching problem
Sergio Taraglio, Andrea Zanela · 2002
The applicability of the cellular neural network (CNN) paradigm to the problem of recovering information on the 3D 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 (1992) 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.