NDLI: On building an accurate stereo matching system on graphics hardware

Content Provider	IEEE Xplore Digital Library
Author	Xing Mei Xun Sun Mingcai Zhou Shaohui Jiao Haitao Wang Xiaopeng Zhang
Copyright Year	2011
Description	Author affiliation: LIAMA-NLPR, Institute of Automation, Chinese Academy of Sciences, China (Xiaopeng Zhang) \|\| Samsung Advanced Institute of Technology, China Lab, China (Xing Mei; Xun Sun; Mingcai Zhou; Shaohui Jiao; Haitao Wang)
Abstract	This paper presents a GPU-based stereo matching system with good performance in both accuracy and speed. The matching cost volume is initialized with an AD-Census measure, aggregated in dynamic cross-based regions, and updated in a scanline optimization framework to produce the disparity results. Various errors in the disparity results are effectively handled in a multi-step refinement process. Each stage of the system is designed with parallelism considerations such that the computations can be accelerated with CUDA implementations. Experimental results demonstrate the accuracy and the efficiency of the system: currently it is the top performer in the Middlebury benchmark, and the results are achieved on GPU within 0.1 seconds. We also provide extra examples on stereo video sequences and discuss the limitations of the system.
Starting Page	467
Ending Page	474
File Size	472248
Page Count	8
File Format	PDF
ISBN	9781467300629
e-ISBN	9781467300636
DOI	10.1109/ICCVW.2011.6130280
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2011-11-06
Publisher Place	Spain
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Interpolation Accuracy Image color analysis Image edge detection Stereo vision Reliability Graphics processing unit
Content Type	Text
Resource Type	Article

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