Title :
Solution of stereo correspondence in real scene: an analogic CNN algorithm
Author :
Radványi, András G.
Author_Institution :
Analogic & Neural Comput. Syst. Lab., Hungarian Acad. of Sci., Budapest, Hungary
Abstract :
A multilayer analogic CNN (cellular neural network) algorithm is proposed to reconstruct surfaces from real scene stereo-pairs consisting of two images shot from one and the same camera position. The whole scene is illuminated by randomly structured light to provide texture on otherwise “empty” surfaces. One image is that of the illuminated background, the other one is the image of illuminated objects in front of the same background
Keywords :
cellular neural nets; feedforward neural nets; image reconstruction; image texture; lighting; multilayer perceptrons; realistic images; stereo image processing; camera position; empty surfaces; illuminated background; illuminated objects; multilayer analogic cellular neural network algorithm; randomly structured light; real scene stereo-pairs; stereo correspondence solution; surface reconstruction; texture; Automation; Cellular neural networks; Image reconstruction; Laboratories; Layout; Matched filters; Nonhomogeneous media; Stereo vision; Surface reconstruction; Surface texture;
Conference_Titel :
Cellular Neural Networks and their Applications, 1994. CNNA-94., Proceedings of the Third IEEE International Workshop on
Conference_Location :
Rome
Print_ISBN :
0-7803-2070-0
DOI :
10.1109/CNNA.1994.381674
