Title :
Stereo vision by cellular neural network with wavelet template
Author :
Hattori, Toshihiro ; Tanaka, Mitsuru
Author_Institution :
Dept. of Electr. & Electron. Eng., Sophia Univ., Tokyo
Abstract :
In this paper, a new method to solve the correspondence points problems for stereo vision is presented. The stereo images include surface information as a parallax. After the correspondence points are found, the parallax can be obtained. In this method, the stereo images are transformed to images mapped by a 2D Wavelet Transform by Cellular Neural Networks, and the correspondence points are found in the transferred space
Keywords :
cellular neural nets; computer vision; stereo image processing; wavelet transforms; 2D wavelet transform; cellular neural network; correspondence points; parallax; stereo images; stereo vision; surface information; wavelet template; Cellular networks; Cellular neural networks; Circuits; Image analysis; Neural networks; Signal analysis; Stereo vision; Wavelet analysis; Wavelet transforms;
Conference_Titel :
Circuits and Systems, 1994., Proceedings of the 37th Midwest Symposium on
Conference_Location :
Lafayette, LA
Print_ISBN :
0-7803-2428-5
DOI :
10.1109/MWSCAS.1994.519374
