Extraction of depth information by cellular neural networks
Mamoru Tanaka, M. Awata · 2002
This paper describes dynamic depth extraction for binocular stereo visual information by CNN (cellular neural network). The quantization for the funneling information is done by parallel neurons. And, the correspondence problem can be solved by pattern recognition for analog images reconstructed from the transmitted funneling halftoning images. The competitive CNN is used. The computer simulation will show the verification for dynamic extraction process for analog stereo images.>