Paper Info
Title
Literature Survey on Stereo Vision Disparity Map Algorithms.
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.
Year
DOI
Venue
2016
10.1155/2016/8742920
JOURNAL OF SENSORS
Field
DocType
Volume
Stereo matching,Computer vision,Central processing unit,Graphical processing unit,Computer science,Stereopsis,Field-programmable gate array,Algorithm,Software,Artificial intelligence
Journal
2016
ISSN
Citations 
PageRank 
1687-725X
17
0.80
References 
Authors
74
2
Name
Order
Citations
PageRank
Rostam Affendi Hamzah1232.58
Haidi Ibrahim21158.83