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Development Of Double Stage Filter (DSF) On Stereo Matching Algorithm For 3D Computer Vision Applications

In the field of stereo vision, some of existing stereo matching algorithms are designed with less accuracy of algorithm. Thus, a new hybrid algorithm with higher accuracy of computation is developed in this project. This thesis will present the design, development and analysis of performance on a de...

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Main Author: Teo, Chee Huat
Format: Thesis
Language:English
English
Published: 2016
Subjects:
T Technology (General)
TA Engineering (General). Civil engineering (General)
Online Access:http://eprints.utem.edu.my/id/eprint/18177/1/Development%20Of%20Double%20Stage%20Filter%20%28DSF%29%20On%20Stereo%20Matching%20Algorithm%20For%203D%20Computer%20Vision%20Applications%2024%20Pages.pdf
http://eprints.utem.edu.my/id/eprint/18177/2/Development%20Of%20Double%20Stage%20Filter%20%28DSF%29%20On%20Stereo%20Matching%20Algorithm%20For%203d%20Computer%20Vision%20Applications.pdf
http://eprints.utem.edu.my/id/eprint/18177/
https://plh.utem.edu.my/cgi-bin/koha/opac-detail.pl?biblionumber=100100
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spelling my.utem.eprints.181772021-10-10T14:58:32Z http://eprints.utem.edu.my/id/eprint/18177/ Development Of Double Stage Filter (DSF) On Stereo Matching Algorithm For 3D Computer Vision Applications Teo, Chee Huat T Technology (General) TA Engineering (General). Civil engineering (General) In the field of stereo vision, some of existing stereo matching algorithms are designed with less accuracy of algorithm. Thus, a new hybrid algorithm with higher accuracy of computation is developed in this project. This thesis will present the design, development and analysis of performance on a developed Double Stage Filter (DSF) algorithm and other existing stereo matching algorithms. DSF algorithm is a hybrid stereo matching algorithm which divided into two phases. Phase 1 is consists of the part on Sum of Absolute Differences from basic block matching and the part of Scanline Optimization (SO) from dynamic programming approches while phase 2 includes segmentation, merging and basic median filter process. The main feature of DSF algorithm is mainly on the phase 2 or as post-processing in which to remove the unwanted aspects like random noises and horizontal streaks, which is obtained from the raw disparity depth map on the step of optimization. In order to remove the unwanted aspects, two stages filtering process are needed along with the developed approaches in the phase 2 of DSF algorithm. There are two categorized evaluations done on the disparity maps obtained by the algorithms : objective evaluation and subjective evaluation. The objective evaluation includes the evaluation system of Middlebury Stereo Vision website page, computation analysis and traditional methods of Mean Square Errors (MSE), Peak to Signal Noise Ratio (PSNR) and Structural Similarity Index Metric (SSIM). Besides, for subjective evaluation, the datasets are captured from LNC IP camera and the results obtained by the selected algorithms are evaluated by human's eyes perception. Based on the results of evaluations, the results obtained by DSF is better than the algorithms, basic block matching and dynamic programming. 2016 Thesis NonPeerReviewed text en http://eprints.utem.edu.my/id/eprint/18177/1/Development%20Of%20Double%20Stage%20Filter%20%28DSF%29%20On%20Stereo%20Matching%20Algorithm%20For%203D%20Computer%20Vision%20Applications%2024%20Pages.pdf text en http://eprints.utem.edu.my/id/eprint/18177/2/Development%20Of%20Double%20Stage%20Filter%20%28DSF%29%20On%20Stereo%20Matching%20Algorithm%20For%203d%20Computer%20Vision%20Applications.pdf Teo, Chee Huat (2016) Development Of Double Stage Filter (DSF) On Stereo Matching Algorithm For 3D Computer Vision Applications. Masters thesis, Universiti Teknikal Malaysia Melaka. https://plh.utem.edu.my/cgi-bin/koha/opac-detail.pl?biblionumber=100100
institution Universiti Teknikal Malaysia Melaka
building UTEM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknikal Malaysia Melaka
content_source UTEM Institutional Repository
url_provider http://eprints.utem.edu.my/
language English
English
topic T Technology (General)
TA Engineering (General). Civil engineering (General)
spellingShingle T Technology (General)
TA Engineering (General). Civil engineering (General)
Teo, Chee Huat
Development Of Double Stage Filter (DSF) On Stereo Matching Algorithm For 3D Computer Vision Applications
description In the field of stereo vision, some of existing stereo matching algorithms are designed with less accuracy of algorithm. Thus, a new hybrid algorithm with higher accuracy of computation is developed in this project. This thesis will present the design, development and analysis of performance on a developed Double Stage Filter (DSF) algorithm and other existing stereo matching algorithms. DSF algorithm is a hybrid stereo matching algorithm which divided into two phases. Phase 1 is consists of the part on Sum of Absolute Differences from basic block matching and the part of Scanline Optimization (SO) from dynamic programming approches while phase 2 includes segmentation, merging and basic median filter process. The main feature of DSF algorithm is mainly on the phase 2 or as post-processing in which to remove the unwanted aspects like random noises and horizontal streaks, which is obtained from the raw disparity depth map on the step of optimization. In order to remove the unwanted aspects, two stages filtering process are needed along with the developed approaches in the phase 2 of DSF algorithm. There are two categorized evaluations done on the disparity maps obtained by the algorithms : objective evaluation and subjective evaluation. The objective evaluation includes the evaluation system of Middlebury Stereo Vision website page, computation analysis and traditional methods of Mean Square Errors (MSE), Peak to Signal Noise Ratio (PSNR) and Structural Similarity Index Metric (SSIM). Besides, for subjective evaluation, the datasets are captured from LNC IP camera and the results obtained by the selected algorithms are evaluated by human's eyes perception. Based on the results of evaluations, the results obtained by DSF is better than the algorithms, basic block matching and dynamic programming.
format Thesis
author Teo, Chee Huat
author_facet Teo, Chee Huat
author_sort Teo, Chee Huat
title Development Of Double Stage Filter (DSF) On Stereo Matching Algorithm For 3D Computer Vision Applications
title_short Development Of Double Stage Filter (DSF) On Stereo Matching Algorithm For 3D Computer Vision Applications
title_full Development Of Double Stage Filter (DSF) On Stereo Matching Algorithm For 3D Computer Vision Applications
title_fullStr Development Of Double Stage Filter (DSF) On Stereo Matching Algorithm For 3D Computer Vision Applications
title_full_unstemmed Development Of Double Stage Filter (DSF) On Stereo Matching Algorithm For 3D Computer Vision Applications
title_sort development of double stage filter (dsf) on stereo matching algorithm for 3d computer vision applications
publishDate 2016
url http://eprints.utem.edu.my/id/eprint/18177/1/Development%20Of%20Double%20Stage%20Filter%20%28DSF%29%20On%20Stereo%20Matching%20Algorithm%20For%203D%20Computer%20Vision%20Applications%2024%20Pages.pdf
http://eprints.utem.edu.my/id/eprint/18177/2/Development%20Of%20Double%20Stage%20Filter%20%28DSF%29%20On%20Stereo%20Matching%20Algorithm%20For%203d%20Computer%20Vision%20Applications.pdf
http://eprints.utem.edu.my/id/eprint/18177/
https://plh.utem.edu.my/cgi-bin/koha/opac-detail.pl?biblionumber=100100
_version_ 1715193888804700160
score 13.211869

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