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Coutour-based object recognition method for a monocular vision system
Coutour-based object recognition method for a monocular vision system
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机译:基于轮廓的单目视觉系统目标识别方法
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摘要
An object recognition method analyzes an imaged object based on its contour. Extracted contours are characterized by wavelets and slope sequence, and compared to sets of stored contours to recognize a known feature. If a match of sufficiently high confidence is not found, the image is distorted to simulate an incrementally different perspective of the imaged object, and the process of contour identification, characterization and comparison is repeated until a match of sufficiently high confidence is found. The cycle of image distortions allow two-dimensional images obtained from a monocular vision system to be analyzed for three-dimensional motion for optimal recognition performance.
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