| Summary: | 碩士 === 元智大學 === 機械工程研究所 === 87 === Color vision technique has more adequate image information, but confronting more complexity problems and more calculate cost. Fortunately, height speed CPU and height quality color CCD are popular and inexpensive. This makes a well chance for machine vision. We decide to use the advantage with traditional vision technique, chromatics and develop some novel methods to devote myself for machine vision.
In this thesis, we achieve the goal of 3D target tracking based on color stereo binocular vision. For this goal, we present two contributions in chromatics and stereo vision. In chromatics, we develop a novel color solid using RGB model and HSI model fused. This makes that computer can tell color region faster and stronger. In stereo vision, we redefine Block Match method that presented by A. Koschan 1996. This solved the correspondence problem directly and even tracking problem.
We improve Sequential Algorithm for labeling color region, offering the target position prediction method, conception of stereo geometry and some technique to correct vision system. Finally, we have experiments to make sure that my vision system was working and discussing the problems in my system.
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