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Volumn , Issue , 2007, Pages 2103-2108

A new approach for stereo matching in autonomous mobile robot applications

Author keywords

[No Author keywords available]

Indexed keywords

DISPARITY MAP; GRAPH MATCHINGS; INDOOR ENVIRONMENT; NEW APPROACHES; PERFORMANCE COMPARISON; POINT-MATCHING; STEREO MATCHING; STEREOSEQUENCE;

EID: 50949088113     PISSN: 10450823     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (6)

References (17)
  • 1
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    • D. Scharstein, R. Szeliski. A Taxonomy and Evaluation of Dense Two-Frame Stereo Correspondence Algorithms. International Journal of Computer Vision, 47(1):7-42, May 2002. (Pubitemid 34428419)
    • (2002) International Journal of Computer Vision , vol.47 , Issue.1-3 , pp. 7-42
    • Scharstein, D.1    Szeliski, R.2
  • 2
    • 0141618137 scopus 로고    scopus 로고
    • Technical report, Dept. of Electrical and Computer Engineering, Carnegie Mellon University, Pittsburgh, PA, 15213, USA
    • C. Zhang. A Survey on Stereo Vision for Mobile Robots. Technical report, Dept. of Electrical and Computer Engineering, Carnegie Mellon University, Pittsburgh, PA, 15213, USA, 2002.
    • (2002) A Survey on Stereo Vision for Mobile Robots
    • Zhang, C.1
  • 3
    • 0028499182 scopus 로고
    • A stereo matching algorithm with an adaptive window: Theory and experiment
    • September
    • T. Kanade, and M. Okutomi. A stereo matching algorithm with an adaptive window: Theory and experiment. IEEE Transaction on Pattern Analysis and Machine Intelligence, 16(9):920-932, September 1994.
    • (1994) IEEE Transaction on Pattern Analysis and Machine Intelligence , vol.16 , Issue.9 , pp. 920-932
    • Kanade, T.1    Okutomi, M.2
  • 5
    • 0034858177 scopus 로고    scopus 로고
    • Stereo matching by compact windows via minimum ratio cycle
    • Vancouver, Canada, July
    • O. Veksler. Stereo matching by compact windows via minimum ratio cycle. In Proceedings of the International Conference on Computer Vision, I: 540-547, Vancouver, Canada, July 2001.
    • (2001) Proceedings of the International Conference on Computer Vision , vol.1 , pp. 540-547
    • Veksler, O.1
  • 6
    • 0017119752 scopus 로고
    • Cooperative computation of stereo disparity
    • October
    • D. Marr and T.A. Poggio. Cooperative computation of stereo disparity. Science, 194(4262):283-287, October 1976.
    • (1976) Science , vol.194 , Issue.4262 , pp. 283-287
    • Marr, D.1    Poggio, T.A.2
  • 9
    • 0033323736 scopus 로고    scopus 로고
    • Stereo without epipolar lines: A maximum-flow formulation
    • August
    • S. Roy. Stereo without epipolar lines: A maximum-flow formulation. International Journal of Computer Vision, 34(2/3):1-15, August 1999.
    • (1999) International Journal of Computer Vision , vol.34 , Issue.2-3 , pp. 1-15
    • Roy, S.1
  • 12
    • 0019878580 scopus 로고
    • A computer implementation of a theory of human stereo vision
    • W.E.L. Grimson. A computer implementation of a theory of human stereo vision. Royal, B-292:217-253, 1981.
    • (1981) Royal , vol.B-292 , pp. 217-253
    • Grimson, W.E.L.1
  • 13
    • 0031248916 scopus 로고    scopus 로고
    • A similarity measure for stereo feature matching
    • PII S1057714997070322
    • F. Candocia, and M. Adjouadi. A similarity measure for stereo feature matching. IEEE Transaction on Image Processing, 6:1460-1464, 1997. (Pubitemid 127766407)
    • (1997) IEEE Transactions on Image Processing , vol.6 , Issue.10 , pp. 1460-1464
    • Candocia, F.1    Adjouadi, M.2
  • 15
    • 0002719797 scopus 로고
    • The Hungarian Method for the Assignment Problem
    • H.W. Kuhn. The Hungarian Method for the Assignment Problem. Naval Research Logistics Quarterly, 2: 83-97, 1955.
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    • Kuhn, H.W.1
  • 16
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    • web site
    • [Middlebury web site] http://cat.middlebury.edu/stereo/
  • 17
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    • Computer Vision Methodologies
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    • Jolion, J.M.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.