Monocular vision based independently moving feature detection using image correspondences
Control, Automation and Systems（2012）
摘要
In this paper, we propose a independently moving feature detection algorithm using monocular vision. The proposed algorithm can detect independently moving feature points from all of the feature points by geometric constraints. The geometric constraints consist of epipolar constraint and trifocal constraint. The proposed algorithm can be implemented in real time. Therefore, it can be directly apply to mobile robots and intelligent vehicles. We test our algorithm with real outdoor datasets.
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关键词
automated highways,computational geometry,feature extraction,image motion analysis,mobile robots,set theory,epipolar constraint,geometric constraint,image correspondences,independently moving feature detection algorithm,intelligent vehicles,monocular vision,moving feature points,real-outdoor datasets,trifocal constraint,image correspondence,independently moving feature detection,automation,stereo vision,tensile stress
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