Paper Info
Title
Review of stereo vision algorithms and their suitability for resource-limited systems
Abstract
A significant amount of research in the field of stereo vision has been published in the past decade. Considerable progress has been made in improving accuracy of results as well as achieving real-time performance in obtaining those results. This work provides a comprehensive review of stereo vision algorithms with specific emphasis on real-time performance to identify those suitable for resource-limited systems. An attempt has been made to compile and present accuracy and runtime performance data for all stereo vision algorithms developed in the past decade. Algorithms are grouped into three categories: (1) those that have published results of real-time or near real-time performance on standard processors, (2) those that have real-time performance on specialized hardware (i.e. GPU, FPGA, DSP, ASIC), and (3) those that have not been shown to obtain near real-time performance. This review is intended to aid those seeking algorithms suitable for real-time implementation on resource-limited systems, and to encourage further research and development of the same by providing a snapshot of the status quo.
Year
DOI
Venue
2016
10.1007/s11554-012-0313-2
Journal of Real-time Image Processing
Keywords
Field
DocType
Graphic Process Unit, Stereo Vision, Graphic Process Unit Implementation, Stereo Algorithm, Disparity Range
Computer vision,Digital signal processing,Status quo,Computer science,Stereopsis,Field-programmable gate array,Algorithm,Real-time computing,Compiler,Application-specific integrated circuit,Artificial intelligence,Snapshot (computer storage)
Journal
Volume
Issue
ISSN
11
1
1861-8219
Citations 
PageRank 
References 
49
1.53
125
Authors
4
Search Limit
100125
Name
Order
Citations
PageRank
Beau J. Tippetts11127.62
dah jye lee2491.53
Kirt Lillywhite3662.73
James K. Archibald4632161.01