Literature Survey on Stereo Vision Disparity Map Algorithms

• Main Authors: Rostam Affendi Hamzah, Haidi Ibrahim
• Format: Article
• Language: English
• Published: Hindawi Limited 2016-01-01
• Series: Journal of Sensors
• Online Access: http://dx.doi.org/10.1155/2016/8742920

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.