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Volumn 1144, Issue , 1996, Pages 201-219

Learning appearance models for object recognition

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTER VISION; OBJECT RECOGNITION; PROBABILITY DISTRIBUTIONS; TOPOLOGY;

EID: 84978971181     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/3-540-61750-7_30     Document Type: Conference Paper
Times cited : (10)

References (23)
  • 1
    • 0022603247 scopus 로고
    • HYPER: A new approach for the recognition and positioning of two-dimensional objects
    • PAMI-8
    • N. Ayache, O.D. Faugeras. HYPER: A new approach for the recognition and positioning of two-dimensional objects. IEEE Trans. Patt. Anal. Mach. Intell. PAMI-8:44-54, 1986.
    • (1986) IEEE Trans. Patt. Anal. Mach. Intell , pp. 44-54
    • Ayache, N.1    Faugeras, O.D.2
  • 4
    • 84857779904 scopus 로고
    • Fast recognition using adaptive subdivisions of transformation space
    • T.M. Breuel. Fast recognition using adaptive subdivisions of transformation space. In Proc. Conf. Computer Vision and Patt. Recognit., 445-451, 1992.
    • (1992) Proc. Conf. Computer Vision and Patt. Recognit , pp. 445-451
    • Breuel, T.M.1
  • 5
    • 33747435242 scopus 로고
    • Matching complex images to multiple 3D objects using view description networks
    • J.B. Burns, E.M. Riseman. Matching complex images to multiple 3D objects using view description networks. In Proc. Conf. Computer Vision and Patt. Recognit., 328-334, 1992.
    • (1992) Proc. Conf. Computer Vision and Patt. Recognit , pp. 328-334
    • Burns, J.B.1    Riseman, E.M.2
  • 7
    • 85029751275 scopus 로고
    • Polynomial-time object recognition in the presence of clutter, occlusion, and uncertainty
    • T.A. Cass. Polynomial-time object recognition in the presence of clutter, occlusion, and uncertainty. In Proc. European Conf. on Computer Vision, 834-842, 1992.
    • (1992) Proc. European Conf. on Computer Vision , pp. 834-842
    • Cass, T.A.1
  • 9
    • 0023294265 scopus 로고
    • Generating and generalizing models of visual objects
    • J.H. Connell, M. Brady. Generating and generalizing models of visual objects. Artificial Intell. 31:159-183, 1987.
    • (1987) Artificial Intell , vol.31 , pp. 159-183
    • Connell, J.H.1    Brady, M.2
  • 10
    • 0343442766 scopus 로고
    • Knowledge acquisition via incremental conceptual clustering
    • D.H. Fisher. Knowledge acquisition via incremental conceptual clustering. Machine Learning 2:139-172, 1987.
    • (1987) Machine Learning , vol.2 , pp. 139-172
    • Fisher, D.H.1
  • 11
    • 0342837121 scopus 로고
    • Matching and clustering: Two steps towards automatic object model generation in computer vision
    • AAAI Press
    • P. Gros. Matching and clustering: Two steps towards automatic object model generation in computer vision. In Proc. AAAI Fall Symp.: Machine Learning in Computer Vision, AAAI Press, 1993.
    • (1993) Proc. AAAI Fall Symp.: Machine Learning in Computer Vision
    • Gros, P.1
  • 12
    • 0029252827 scopus 로고
    • Pose estimation by fusing noisy data of different dimensions
    • Y. Hel-Or, M. Werman. Pose estimation by fusing noisy data of different dimensions. IEEE Trans. Patt. Anal. Mach. Intell. 17:195-201, 1995.
    • (1995) IEEE Trans. Patt. Anal. Mach. Intell , vol.17 , pp. 195-201
    • Hel-Or, Y.1    Werman, M.2
  • 13
    • 0002923574 scopus 로고
    • The viewpoint consistency constraint
    • D.G. Lowe. The viewpoint consistency constraint. Int. J. Computer Vision 1:5772, 1987.
    • (1987) Int. J. Computer Vision , vol.1 , pp. 5772
    • Lowe, D.G.1
  • 18
    • 0001098776 scopus 로고
    • A universal prior for integers and estimation by minimum description length
    • J. Rissanen. A universal prior for integers and estimation by minimum description length. Annals of Statistics 11:416-431, 1983.
    • (1983) Annals of Statistics , vol.11 , pp. 416-431
    • Rissanen, J.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.