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Cited by 551

The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.

On building an accurate stereo matching system on graphics hardware

Mei, Xing, Sun, Xun, Zhou, Mingcai, Jiao, Shaohui, Wang, Haitao, Xiaopeng Zhang·2011·2011 IEEE International Conference on Computer Vision Workshops (ICCV Workshops)

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.

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Metadata

Authors
Mei, X., Sun, X., Zhou, M., Jiao, S., Wang, H., & Zhang, X.
Venue
2011 IEEE International Conference on Computer Vision Workshops (ICCV Workshops)
Publisher
IEEE
Published
2011-11
Pages
467-474
ISSN
2473-9936 (ISSN-L)
OpenAlex
W1996126470
Cited by
551
References
1
FWCI
34.68
Type
conference paper
Language
en
Open access
closed

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CoChat. (2026). Citation check: On building an accurate stereo matching system on graphics hardware. https://app.cochat.ai/papers/10.1109/iccvw.2011.6130280
The paper
Mei, X., Sun, X., Zhou, M., Jiao, S., Wang, H., & Zhang, X. (2011). On building an accurate stereo matching system on graphics hardware. 2011 IEEE International Conference on Computer Vision Workshops (ICCV Workshops). https://doi.org/10.1109/iccvw.2011.6130280

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