A color-based approach for disparity refinement

Raj Kumar Gupta; Siu Yeung Cho

doi:10.1109/ICARCV.2010.5707934

A color-based approach for disparity refinement

Raj Kumar Gupta, Siu Yeung Cho

Research output: Chapter in Book/Conference proceeding › Conference contribution › peer-review

3 Citations (Scopus)

Abstract

We present a new disparity refinement algorithm that utilize color information of the reference image to generate sharp disparity maps. While existing methods use iterative approaches or require multiple disparity maps, the proposed algorithm uses a single pass approach to reduce errors at depth discontinuities. The experimental results are evaluated on the Middlebury benchmark dataset; show the effectiveness of the proposed algorithm.

Original language	English
Title of host publication	11th International Conference on Control, Automation, Robotics and Vision, ICARCV 2010
Pages	664-667
Number of pages	4
DOIs	https://doi.org/10.1109/ICARCV.2010.5707934
Publication status	Published - 2010
Externally published	Yes
Event	11th International Conference on Control, Automation, Robotics and Vision, ICARCV 2010 - Singapore, Singapore Duration: 7 Dec 2010 → 10 Dec 2010

Publication series

Name	11th International Conference on Control, Automation, Robotics and Vision, ICARCV 2010

Conference

Conference	11th International Conference on Control, Automation, Robotics and Vision, ICARCV 2010
Country/Territory	Singapore
City	Singapore
Period	7/12/10 → 10/12/10

Keywords

Disparity refinement
Stereo correspondence
Window-based

ASJC Scopus subject areas

Artificial Intelligence
Control and Systems Engineering

Access to Document

10.1109/ICARCV.2010.5707934

Cite this

Gupta, R. K., & Cho, S. Y. (2010). A color-based approach for disparity refinement. In 11th International Conference on Control, Automation, Robotics and Vision, ICARCV 2010 (pp. 664-667). Article 5707934 (11th International Conference on Control, Automation, Robotics and Vision, ICARCV 2010). https://doi.org/10.1109/ICARCV.2010.5707934

@inproceedings{77979f967ec1456a81413fd5076b8d6e,

title = "A color-based approach for disparity refinement",

abstract = "We present a new disparity refinement algorithm that utilize color information of the reference image to generate sharp disparity maps. While existing methods use iterative approaches or require multiple disparity maps, the proposed algorithm uses a single pass approach to reduce errors at depth discontinuities. The experimental results are evaluated on the Middlebury benchmark dataset; show the effectiveness of the proposed algorithm.",

keywords = "Disparity refinement, Stereo correspondence, Window-based",

author = "Gupta, {Raj Kumar} and Cho, {Siu Yeung}",

year = "2010",

doi = "10.1109/ICARCV.2010.5707934",

language = "English",

isbn = "9781424478132",

series = "11th International Conference on Control, Automation, Robotics and Vision, ICARCV 2010",

pages = "664--667",

booktitle = "11th International Conference on Control, Automation, Robotics and Vision, ICARCV 2010",

note = "11th International Conference on Control, Automation, Robotics and Vision, ICARCV 2010 ; Conference date: 07-12-2010 Through 10-12-2010",

}

Gupta, RK & Cho, SY 2010, A color-based approach for disparity refinement. in 11th International Conference on Control, Automation, Robotics and Vision, ICARCV 2010., 5707934, 11th International Conference on Control, Automation, Robotics and Vision, ICARCV 2010, pp. 664-667, 11th International Conference on Control, Automation, Robotics and Vision, ICARCV 2010, Singapore, Singapore, 7/12/10. https://doi.org/10.1109/ICARCV.2010.5707934

A color-based approach for disparity refinement. / Gupta, Raj Kumar; Cho, Siu Yeung.
11th International Conference on Control, Automation, Robotics and Vision, ICARCV 2010. 2010. p. 664-667 5707934 (11th International Conference on Control, Automation, Robotics and Vision, ICARCV 2010).

Research output: Chapter in Book/Conference proceeding › Conference contribution › peer-review

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AU - Cho, Siu Yeung

PY - 2010

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AB - We present a new disparity refinement algorithm that utilize color information of the reference image to generate sharp disparity maps. While existing methods use iterative approaches or require multiple disparity maps, the proposed algorithm uses a single pass approach to reduce errors at depth discontinuities. The experimental results are evaluated on the Middlebury benchmark dataset; show the effectiveness of the proposed algorithm.

KW - Disparity refinement

KW - Stereo correspondence

KW - Window-based

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DO - 10.1109/ICARCV.2010.5707934

M3 - Conference contribution

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ER -

A color-based approach for disparity refinement

Abstract

Publication series

Conference

Keywords

ASJC Scopus subject areas

Access to Document

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