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Title: Segment-based stereo matching algorithm with rectification for single-lens bi-prism stereovision system
Keywords: Segmentation, Stereo matching, Rectification, Single-lens bi-prism system, Disparity map, Energy optimization
Issue Date: 21-Aug-2014
Source: BAI YADING (2014-08-21). Segment-based stereo matching algorithm with rectification for single-lens bi-prism stereovision system. ScholarBank@NUS Repository.
Abstract: This thesis aims to develop a novel segment-based Stereo-matching Algorithm for 3-D depth recovery. The algorithm is to further improve the stereo correspondence results to achieve the said purpose. A novel segment-based stereo matching algorithm to extract the disparity information from captured stereo image pair is proposed. Local method to obtain an initial disparity map is first employed. A self-organizing map segmentation algorithm is then applied to segment an image into regions of homogenous colors at the same time. Subsequently a plane fitting process is used to assign each segment a disparity plane. Finally, we create and optimize an energy function containing disparity planes to refine the disparity values. To simplify the stereo correspondence search process, a rectification algorithm is developed. The stereo matching algorithm is then tested on images captured by a single-lens bi-prism stereo vision system developed by our research group.
Appears in Collections:Ph.D Theses (Open)

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