Keypoint matching in stereo vision

Qi Wang; Hongke Xu; Shanshan Li; Fuhua Yu; Shuying Li

doi:10.1109/ICISE.2010.5691608

Keypoint matching in stereo vision

Qi Wang, Hongke Xu, Shanshan Li, Fuhua Yu, Shuying Li

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

2 Scopus citations

Abstract

There is always a need for fast keypoint matching in applications. This paper focuses on the area of stereo vision and presents an algorithm for fast keypoint matching. We first estimate the potential match's position according the optical flow. Then the following matching process is restricted in a smaller region. Experiments show that our algorithm is effective and robust.

Original language	English
Title of host publication	2nd International Conference on Information Science and Engineering, ICISE2010 - Proceedings
Pages	6700-6703
Number of pages	4
DOIs	https://doi.org/10.1109/ICISE.2010.5691608
State	Published - 2010
Externally published	Yes
Event	2nd International Conference on Information Science and Engineering, ICISE2010 - Hangzhou, China Duration: 4 Dec 2010 → 6 Dec 2010

Publication series

Name	2nd International Conference on Information Science and Engineering, ICISE2010 - Proceedings

Conference

Conference	2nd International Conference on Information Science and Engineering, ICISE2010
Country/Territory	China
City	Hangzhou
Period	4/12/10 → 6/12/10

Keywords

Keypoint matching
Optical flow
Stereo vision

Access to Document

10.1109/ICISE.2010.5691608

Cite this

@inproceedings{3aa3a23ccf48462994f9ef5ee1b60b82,

title = "Keypoint matching in stereo vision",

abstract = "There is always a need for fast keypoint matching in applications. This paper focuses on the area of stereo vision and presents an algorithm for fast keypoint matching. We first estimate the potential match's position according the optical flow. Then the following matching process is restricted in a smaller region. Experiments show that our algorithm is effective and robust.",

keywords = "Keypoint matching, Optical flow, Stereo vision",

author = "Qi Wang and Hongke Xu and Shanshan Li and Fuhua Yu and Shuying Li",

year = "2010",

doi = "10.1109/ICISE.2010.5691608",

language = "英语",

isbn = "9781424480968",

series = "2nd International Conference on Information Science and Engineering, ICISE2010 - Proceedings",

pages = "6700--6703",

booktitle = "2nd International Conference on Information Science and Engineering, ICISE2010 - Proceedings",

note = "2nd International Conference on Information Science and Engineering, ICISE2010 ; Conference date: 04-12-2010 Through 06-12-2010",

}

Wang, Q, Xu, H, Li, S, Yu, F & Li, S 2010, Keypoint matching in stereo vision. in 2nd International Conference on Information Science and Engineering, ICISE2010 - Proceedings., 5691608, 2nd International Conference on Information Science and Engineering, ICISE2010 - Proceedings, pp. 6700-6703, 2nd International Conference on Information Science and Engineering, ICISE2010, Hangzhou, China, 4/12/10. https://doi.org/10.1109/ICISE.2010.5691608

Keypoint matching in stereo vision. / Wang, Qi; Xu, Hongke; Li, Shanshan et al.
2nd International Conference on Information Science and Engineering, ICISE2010 - Proceedings. 2010. p. 6700-6703 5691608 (2nd International Conference on Information Science and Engineering, ICISE2010 - Proceedings).

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

TY - GEN

T1 - Keypoint matching in stereo vision

AU - Wang, Qi

AU - Xu, Hongke

AU - Li, Shanshan

AU - Yu, Fuhua

AU - Li, Shuying

PY - 2010

Y1 - 2010

N2 - There is always a need for fast keypoint matching in applications. This paper focuses on the area of stereo vision and presents an algorithm for fast keypoint matching. We first estimate the potential match's position according the optical flow. Then the following matching process is restricted in a smaller region. Experiments show that our algorithm is effective and robust.

AB - There is always a need for fast keypoint matching in applications. This paper focuses on the area of stereo vision and presents an algorithm for fast keypoint matching. We first estimate the potential match's position according the optical flow. Then the following matching process is restricted in a smaller region. Experiments show that our algorithm is effective and robust.

KW - Keypoint matching

KW - Optical flow

KW - Stereo vision

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U2 - 10.1109/ICISE.2010.5691608

DO - 10.1109/ICISE.2010.5691608

M3 - 会议稿件

AN - SCOPUS:79951974989

SN - 9781424480968

T3 - 2nd International Conference on Information Science and Engineering, ICISE2010 - Proceedings

SP - 6700

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BT - 2nd International Conference on Information Science and Engineering, ICISE2010 - Proceedings

T2 - 2nd International Conference on Information Science and Engineering, ICISE2010

Y2 - 4 December 2010 through 6 December 2010

ER -

Keypoint matching in stereo vision

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Keywords

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