Literature Survey on Stereo Vision Disparity Map Algorithms
This paper presents a literature survey on existing disparity map algorithms. It focuses on four main stages of processing as proposed by Scharstein and Szeliski in a taxonomy and evaluation of dense two-frame stereo correspondence algorithms performed in 2002. To assist future researchers in develo...
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doaj-e65728b7b1b043ec89f86ba3c91df2602020-11-25T00:03:30ZengHindawi LimitedJournal of Sensors1687-725X1687-72682016-01-01201610.1155/2016/87429208742920Literature Survey on Stereo Vision Disparity Map AlgorithmsRostam Affendi Hamzah0Haidi Ibrahim1School of Electrical & Electronic Engineering, Universiti Sains Malaysia, Engineering Campus, 14300 Nibong Tebal, Penang, MalaysiaSchool of Electrical & Electronic Engineering, Universiti Sains Malaysia, Engineering Campus, 14300 Nibong Tebal, Penang, MalaysiaThis paper presents a literature survey on existing disparity map algorithms. It focuses on four main stages of processing as proposed by Scharstein and Szeliski in a taxonomy and evaluation of dense two-frame stereo correspondence algorithms performed in 2002. To assist future researchers in developing their own stereo matching algorithms, a summary of the existing algorithms developed for every stage of processing is also provided. The survey also notes the implementation of previous software-based and hardware-based algorithms. Generally, the main processing module for a software-based implementation uses only a central processing unit. By contrast, a hardware-based implementation requires one or more additional processors for its processing module, such as graphical processing unit or a field programmable gate array. This literature survey also presents a method of qualitative measurement that is widely used by researchers in the area of stereo vision disparity mappings.http://dx.doi.org/10.1155/2016/8742920 |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Rostam Affendi Hamzah Haidi Ibrahim |
spellingShingle |
Rostam Affendi Hamzah Haidi Ibrahim Literature Survey on Stereo Vision Disparity Map Algorithms Journal of Sensors |
author_facet |
Rostam Affendi Hamzah Haidi Ibrahim |
author_sort |
Rostam Affendi Hamzah |
title |
Literature Survey on Stereo Vision Disparity Map Algorithms |
title_short |
Literature Survey on Stereo Vision Disparity Map Algorithms |
title_full |
Literature Survey on Stereo Vision Disparity Map Algorithms |
title_fullStr |
Literature Survey on Stereo Vision Disparity Map Algorithms |
title_full_unstemmed |
Literature Survey on Stereo Vision Disparity Map Algorithms |
title_sort |
literature survey on stereo vision disparity map algorithms |
publisher |
Hindawi Limited |
series |
Journal of Sensors |
issn |
1687-725X 1687-7268 |
publishDate |
2016-01-01 |
description |
This paper presents a literature survey on existing disparity map algorithms. It focuses on four main stages of processing as proposed by Scharstein and Szeliski in a taxonomy and evaluation of dense two-frame stereo correspondence algorithms performed in 2002. To assist future researchers in developing their own stereo matching algorithms, a summary of the existing algorithms developed for every stage of processing is also provided. The survey also notes the implementation of previous software-based and hardware-based algorithms. Generally, the main processing module for a software-based implementation uses only a central processing unit. By contrast, a hardware-based implementation requires one or more additional processors for its processing module, such as graphical processing unit or a field programmable gate array. This literature survey also presents a method of qualitative measurement that is widely used by researchers in the area of stereo vision disparity mappings. |
url |
http://dx.doi.org/10.1155/2016/8742920 |
work_keys_str_mv |
AT rostamaffendihamzah literaturesurveyonstereovisiondisparitymapalgorithms AT haidiibrahim literaturesurveyonstereovisiondisparitymapalgorithms |
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1725433524782104576 |