Literature Survey on Stereo Vision Disparity Map Algorithms

Abstract EN

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.