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Volumn 78, Issue 1, 2000, Pages 1-7

Robust computer vision: An interdisciplinary challenge

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTER AIDED ANALYSIS; IMAGE ANALYSIS; IMAGE UNDERSTANDING; PROBLEM SOLVING; STATISTICS;

EID: 0033907760     PISSN: 10773142     EISSN: None     Source Type: Journal    
DOI: 10.1006/cviu.1999.0833     Document Type: Editorial
Times cited : (47)

References (14)
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    • 0033878454 scopus 로고    scopus 로고
    • Motion–egomotion discrimination and motion segmentation from image-pair streams
    • D. Demirdjian R. Horaud Motion–egomotion discrimination and motion segmentation from image-pair streams Comput. Vision Image Understand. 78 2000 53 68
    • (2000) Comput. Vision Image Understand. , vol.78 , pp. 53-68
    • Demirdjian, D.1    Horaud, R.2
  • 4
    • 0033878658 scopus 로고    scopus 로고
    • Heteroscedastic Hough transform (HtHT): An efficient method for robust line fitting in the ‘errors in the variables’ problem
    • N. Kiryati A.M. Bruckstein Heteroscedastic Hough transform (HtHT): An efficient method for robust line fitting in the ‘errors in the variables’ problem Comput. Vision Image Understand. 78 2000 69 83
    • (2000) Comput. Vision Image Understand. , vol.78 , pp. 69-83
    • Kiryati, N.1    Bruckstein, A.M.2
  • 5
    • 0033879970 scopus 로고    scopus 로고
    • Robust image matching under partial occlusion and spatially varying illumination change
    • S.-H. Lai Robust image matching under partial occlusion and spatially varying illumination change Comput. Vision Image Understand. 78 2000 84 98
    • (2000) Comput. Vision Image Understand. , vol.78 , pp. 84-98
    • Lai, S.-H.1
  • 7
    • 0033872633 scopus 로고    scopus 로고
    • Robust detection of lines using progressive probabilistic Hough transform
    • J. Matas C. Galambos J. Kittler Robust detection of lines using progressive probabilistic Hough transform Comput. Vision Image Understand. 78 2000 119 137
    • (2000) Comput. Vision Image Understand. , vol.78 , pp. 119-137
    • Matas, J.1    Galambos, C.2    Kittler, J.3
  • 8
    • 0033894631 scopus 로고    scopus 로고
    • MLESAC: A new robust estimator with application to estimating image geometry
    • P.H.S. Torr A. Zisserman MLESAC: A new robust estimator with application to estimating image geometry Comput. Vision Image Understand. 78 2000 138 156
    • (2000) Comput. Vision Image Understand. , vol.78 , pp. 138-156
    • Torr, P.H.S.1    Zisserman, A.2
  • 10
    • 85120198038 scopus 로고    scopus 로고
    • R. C. Bolles and M. A. Fischler, A RANSAC-based approach to model fitting and its application to finding cylinders in range data, in Proc. 6th International Joint. Conf. on Artificial Intelligence, Vancouver, Canada, August 1981, pp. 637–643.
  • 11
    • 84950968334 scopus 로고
    • Least median of squares regression
    • P.J. Rousseeuw Least median of squares regression J. Amer. Statist. Assoc. 79 1984 871 880
    • (1984) J. Amer. Statist. Assoc. , vol.79 , pp. 871-880
    • Rousseeuw, P.J.1
  • 13
    • 0033189795 scopus 로고    scopus 로고
    • Robust parameter estimation in computer vision
    • C.V. Stewart Robust parameter estimation in computer vision SIAM Rev. 41 1999 513 537
    • (1999) SIAM Rev. , vol.41 , pp. 513-537
    • Stewart, C.V.1
  • 14
    • 85120213885 scopus 로고    scopus 로고
    • B. Mendes and D. Tyler, Constrained M-estimation for regression, in Robust Statistics, Data Analysis, and Computer Intensive Methods: In Honor of Peter Huber's 60th BirthdayH. Rieder, Ed., Lecture Notes in Statistics, Vol. 109, pp. 299–320, Springer-Verlag, New York, 1996.


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.