23 September 1993 Binocular interaction neural network model using parallel channel architecture
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Stereo vision is the sensation of visual depth that results from the neural response to dissimilarities in the images seen by the two retinas. Psychophysical studies have strongly suggested that stereo disparity exists in the human visual system, and forms the basis for three-dimensional depth perception in the brain. In the past, this subject has been studied by many scientists using various approaches. Recently, several vision biologists have proposed a human binocular neural interaction model. We derive the mathematical equations for the model based on their discovery, and simulate this multilayer neural network model with real binocular images on a digital computer. This model proves to be a novel approach that provides binocular depth performance close to the biological data.
© (1993) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Thomas Y. P. Lee, Thomas Y. P. Lee, Clark C. Guest, Clark C. Guest, } "Binocular interaction neural network model using parallel channel architecture", Proc. SPIE 1915, Stereoscopic Displays and Applications IV, (23 September 1993); doi: 10.1117/12.157028; https://doi.org/10.1117/12.157028


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