Literature Survey On Stereo Vision Disparity Map Algorithms

Rostam Affendi, Hamzah and Haidi, Ibrahim (2016) Literature Survey On Stereo Vision Disparity Map Algorithms. Journal Of Sensors, 2016. pp. 1-23. ISSN 1687-725X

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Abstract

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.

Item Type:	Article
Subjects:	T Technology > T Technology (General)
Divisions:	Faculty of Engineering Technology > Department of Electronics & Computer Engineering Technology
Depositing User:	Mohd Hannif Jamaludin
Date Deposited:	27 Sep 2016 00:34
Last Modified:	12 Sep 2021 03:07
URI:	http://eprints.utem.edu.my/id/eprint/17221
Statistic Details:	View Download Statistic

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