Improvement Of Disparity Map Refinement Stage Using Adaptive Least Square Plane Fitting Technique
This Letter presents an improvement of disparity map refinement stage using adaptive least square plane fitting technique. This technique is proposed to increase the accuracy on the final stage of stereo matching algorithm. Fundamentally, the accuracy of matching process depends on the robustness of...
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2020
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my.utem.eprints.250962021-04-16T15:43:18Z http://eprints.utem.edu.my/id/eprint/25096/ Improvement Of Disparity Map Refinement Stage Using Adaptive Least Square Plane Fitting Technique Hamzah, Rostam Affendi Ibrahim, Haidi This Letter presents an improvement of disparity map refinement stage using adaptive least square plane fitting technique. This technique is proposed to increase the accuracy on the final stage of stereo matching algorithm. Fundamentally, the accuracy of matching process depends on the robustness of an algorithm on the plain colour region, depth discontinuity and repetitive pattern area. These regions are difficult to be matched and very challenging. Thus, this Letter proposes multiple point selections of disparities on a plane to adaptively group similar disparity values. Then, the distance of each disparity is calculated to ensure the values are accurately grouped. The distance refers to an assigned reference radius disparity location. Based on the experimental results using the KITTI and Middlebury benchmark images, the proposed method is capable of increasing the accuracy on the challenging regions and the quantitative measurement. Institution of Engineering and Technology 2020-09-03 Article PeerReviewed text en http://eprints.utem.edu.my/id/eprint/25096/2/J13%202020.PDF Hamzah, Rostam Affendi and Ibrahim, Haidi (2020) Improvement Of Disparity Map Refinement Stage Using Adaptive Least Square Plane Fitting Technique. Electronics Letters, 56 (18). pp. 918-920. ISSN 0013-5194 https://digital-library.theiet.org/content/journals/10.1049/el.2020.1067 10.1049/el.2020.1067 |
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This Letter presents an improvement of disparity map refinement stage using adaptive least square plane fitting technique. This technique is proposed to increase the accuracy on the final stage of stereo matching algorithm. Fundamentally, the accuracy of matching process depends on the robustness of an algorithm on the plain colour region, depth discontinuity and repetitive pattern area. These regions are difficult to be matched and very challenging. Thus, this Letter proposes multiple point selections of disparities on a plane to adaptively group similar disparity values. Then, the distance of each disparity is calculated to ensure the values are accurately grouped. The distance refers to an assigned reference radius disparity location. Based on the experimental results using the KITTI and Middlebury benchmark images, the proposed method is capable of increasing the accuracy on the challenging regions and the quantitative measurement. |
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Article |
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Hamzah, Rostam Affendi Ibrahim, Haidi |
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Hamzah, Rostam Affendi Ibrahim, Haidi Improvement Of Disparity Map Refinement Stage Using Adaptive Least Square Plane Fitting Technique |
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Hamzah, Rostam Affendi Ibrahim, Haidi |
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Hamzah, Rostam Affendi |
title |
Improvement Of Disparity Map Refinement Stage Using Adaptive Least Square Plane Fitting Technique |
title_short |
Improvement Of Disparity Map Refinement Stage Using Adaptive Least Square Plane Fitting Technique |
title_full |
Improvement Of Disparity Map Refinement Stage Using Adaptive Least Square Plane Fitting Technique |
title_fullStr |
Improvement Of Disparity Map Refinement Stage Using Adaptive Least Square Plane Fitting Technique |
title_full_unstemmed |
Improvement Of Disparity Map Refinement Stage Using Adaptive Least Square Plane Fitting Technique |
title_sort |
improvement of disparity map refinement stage using adaptive least square plane fitting technique |
publisher |
Institution of Engineering and Technology |
publishDate |
2020 |
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http://eprints.utem.edu.my/id/eprint/25096/2/J13%202020.PDF http://eprints.utem.edu.my/id/eprint/25096/ https://digital-library.theiet.org/content/journals/10.1049/el.2020.1067 |
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