Contents Menu

Stereo vision system with the grouping process of multiple reaction-diffusion models

Lecture Notes in Computer Science
published_at 2005-06
Title
Stereo vision system with the grouping process of multiple reaction-diffusion models
Creators Miike Hidetoshi
Creators Nomura Atsushi
Creators Ichikawa Makoto
Creator Keywords
Image segmentation Mathematical models Problem solving
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.
Languages eng
Resource Type conference paper
Publishers Springer Verlag
Date Issued 2005-06
File Version Not Applicable (or Unknown)
Access Rights metadata only access
Relations
[ISSN]0302-9743
Schools 工学部 教育学部