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Stereoscopic video object segmentation plays an important role in stereo vision analysis and application. In this paper, we proposed the combination support vector machine (SVM) and mean shift clustering algorithm to achieve classification and segmentation of stereoscopic video. We firstly divided the left image of stereoscopic video into the two classes of target and background and perform training...
Stereoscopic video object segmentation plays an important role in stereo vision analysis and application. In this paper, a new method for disparity image segmentation derived from the extended mean shift theorem was proposed. Disparity estimation based on adaptive support weight approach was firstly introduced to get reliable depth information. Then an extended mean shift algorithm was exploited to...
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