NDLI: Near real-time reliable stereo matching using programmable graphics hardware

Content Provider	IEEE Xplore Digital Library
Author	Minglun Gong Yee-Hong Yang
Copyright Year	2005
Description	Author affiliation: Dept. of Math & Comput. Sci., Laurentian Univ., Sudbury, Ont., Canada (Minglun Gong)
Abstract	A near-real-time stereo matching technique is presented in this paper, which is based on the reliability-based dynamic programming algorithm we proposed earlier. The new algorithm can generate semi-dense disparity maps using only two dynamic programming passes, while our previous approach requires 20-30 passes. We also implement the algorithm on programmable graphics hardware, which further improves the processing speed. The experiments on the four Middlebury stereo datasets show that the new algorithm can produce dense (>85% of the pixels) and reliable (error rate <0.3%) matches in near real-time (0.05-0.1 sec). If needed, it can also be used to generate dense disparity maps. Based on the evaluation conducted by the Middlebury Stereo Vision Research Website, the new algorithm is ranked between the variable window and the graph cuts approaches and currently is the most accurate dynamic programming based technique. When more than one reference images are available, the accuracy can be further improved with little extra computation time.
Sponsorship	IEEE Comput. Soc
Starting Page	924
Ending Page	931
File Size	294534
Page Count	8
File Format	PDF
ISBN	0769523722
ISSN	10636919
DOI	10.1109/CVPR.2005.246
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2005-06-20
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Hardware Dynamic programming Iterative algorithms Stereo vision Costs Computational efficiency Computer graphics Computer science Heuristic algorithms Error analysis Programmable graphics hardware Stereo matching Real-time vision
Content Type	Text
Resource Type	Article
Subject	Computer Vision and Pattern Recognition Software

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