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.
Highlights
Computer vision is currently an important field of research
Stereo vision is an area within the field of computer vision that addresses an important research problem: which is the reconstruction of the three-dimensional coordinates of points for depth estimation
This paper provides a brief introduction to the state-ofthe-art developments accomplished in the context of such algorithms
Summary
Computer vision is currently an important field of research. It includes methods such as image acquisition, processing, analysis, and understanding [1]. New methods and techniques for solving this problem are developed every year and exhibit a trend toward improvement in accuracy and time consumption Another device that is used to acquire depth information is a time-of-flight (ToF) or structured light sensor. All of these papers may represent contributions to fundamental algorithm development, analysis, or application of stereo vision algorithms In both figures, the trendlines are increasing indicating that the field of stereo vision remains active in research and development and has become an interesting and challenging area of research.
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