Estimation of disparity map from stereo image pairs in presence of occlusion

Show simple item record Malathi, T 2017-05-09T09:23:44Z 2017-05-09T09:23:44Z 2017
dc.identifier.other ROLL NO.10610223
dc.description Supervisor: M.K.Bhuyan en_US
dc.description.abstract Stereo correspondence finds corresponding matching pixels in the stereo image pairs. The difference between the coordinates of these matching pixels gives the disparity value, which in turn can be used for finding the depth information of a scene.In last few decades, a number of stereo matching methods have been proposed for different Computer Vision applications, such as robot navigation, 3D modelling, object detection, tracking etc. In view of this, a new Gabor feature-based stereo matching method is proposed. Our method mainly has four steps, namely matching cost computation, cost aggregation, disparity map computation using Winner-Take-All (WTA) selection, and finally disparity map refinement. In our proposed method, local features extracted by using Gabor wavelet in spatial domain are used for matching cost computation. Subsequently, Kuwahara filter is employed for cost aggregation to smooth the estimated disparity map by preserving the disparity discontinuities. en_US
dc.language.iso en en_US
dc.relation.ispartofseries TH-1560;
dc.title Estimation of disparity map from stereo image pairs in presence of occlusion en_US
dc.type Thesis en_US

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