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A new adaptive stereo matching method based on local edge features
Pages: 510-516
Year: Issue:  6
Journal: Optical Technique

Keyword:  image processingstereo matchingadaptive matchingfeature matching;
Abstract: Stereo matching is to obtain an accurate disparity image from two images whose pixels existing stereo disparity between each other.And it is one of the most important and difficult problems in fields of computer vision.After well researching two sorts of typical stereo matching algorithm called stereo matching based on edge features and stereo matching based on the local window respectively,a new stereo matching method based on edge features and the local adaptive supported-weight window is proposed,which aims at getting dense and high-precision disparity image fast and efficiently.The algorithm completes the initial window-based matching by selecting and computing the matching window’s size and weight adaptively.Then depending on the high-precision sparse disparity image acquired by the method based on edge features,the algorithm can eliminate many mismatching points.After these operations,dense and high-precision disparity image is obtained.The final experiments show the method is effective and of great practical value.
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