Correlation error reduction of images in stereo vision with fuzzy method and its application on cartesian robot

Authors:
M. Ghayoumi;P. Porkar Rezayeyeh;M. H. Korayem
Affiliations:
Young Researchers Club;Islamic Azad University, Damavand Branch, Tehran, Iran;Robotic Research Laboratories, Mechanical Engineering Department, Science & Technology University, Narmak, Tehran, Iran
Venue:
AI'06 Proceedings of the 19th Australian joint conference on Artificial Intelligence: advances in Artificial Intelligence
Year:
2006

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Abstract

Stereo vision is one of the most active research topics in machine vision. The most difficult task in stereo vision to getting depth is to find corresponding points in different images of the same scene. There are some approaches and correlation is one of them. This method has some errors and up to now has presented some methods to reduce these errors. In this paper a heuristic and fuzzy approach has been demonstrated for this purpose. Also the experimental test is presented on 3p robot. Simulation results have demonstrated improvement in compare with neural network method.