The present paper proposes a system that detects a stereo disparity map from random-dot stereograms with the grouping process. A simple operation for random-dot stereograms converts the stereo correspondence problem to the segmentation one. For solving the segmentation problem derived from random-dot stereograms, the stereo vision system proposed here utilizes the grouping process of our previously proposed model. The model for the grouping process consists of multiple reaction-diffusion models, each of which governs segments having a disparity in the stereo vision system. A self-inhibition mechanism due to strong inhibitory diffusion within a particular reaction-diffusion model and a mutual-inhibition mechanism among the models are built in the proposed system. Experimental results for artificially generated random-dot stereograms show the validity of the proposed system. © Springer-Verlag Berlin Heidelberg 2005.
CITATION STYLE
Nomura, A., Ichikawa, M., & Miike, H. (2005). Stereo vision system with the grouping process of multiple reaction-diffusion models. In Lecture Notes in Computer Science (Vol. 3522, pp. 137–144). Springer Verlag. https://doi.org/10.1007/11492429_17
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