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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Jun Xiao Linyuan Xia Liqun Lin Zhentao Zhang |
| Copyright Year | 2010 |
| Description | Author affiliation: Squad 18, Unit 61491, Xuchang, China (Zhentao Zhang) || School of Resources and Environmental Science, Hubei University, Wuhan, China (Liqun Lin) || The State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, China (Jun Xiao) || School of Geographical Science and Planning, Sun Yat-Sen University, Guangzhou, China (Linyuan Xia) |
| Abstract | Most stereo matching algorithms are pixel-based. From the perspective of human stereo vision, setting segment as a processing element is more practical. A new fast stereo matching algorithm based on segmentation with ground control points (GCPs) is presented in this paper. Firstly, an object-oriented segmentation method is used to segment the reference image, which not only considers color characteristics, but also takes the spatial context of each pixel and the shape features into account. Secondly, a Winner-Take-All (WTA) matching method using SAD (Sum of Absolute Differences) algorithm has been employed to obtain the initial disparity map, and then gives a GCPs-extraction method by taking full advantage of color and gradient information. To enhance the reliability of GCPs, some heuristic methods are employed. Finally, fusing color segments and GCPs, optimal disparity images are obtained. Consistent with human being's vision, this algorithm combine segmentation and GCPs speeds up stereo matching process while keeping matching results accurate. |
| Starting Page | 306 |
| Ending Page | 309 |
| File Size | 603921 |
| Page Count | 4 |
| File Format | |
| ISBN | 9781424473878 |
| e-ISBN | 9781424473908 |
| DOI | 10.1109/ESIAT.2010.5568363 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2010-07-17 |
| Publisher Place | China |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Algorithm design and analysis region merging Image segmentation Image color analysis Shape ground control points stereo matching Humans color Segments Stereo vision Pixel |
| Content Type | Text |
| Resource Type | Article |
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