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Volumn 3750 LNCS, Issue , 2005, Pages 709-716

Shape modeling using automatic landmarking

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTATIONAL GEOMETRY; FEATURE EXTRACTION; INFORMATION RETRIEVAL; MATHEMATICAL MODELS; MATHEMATICAL TRANSFORMATIONS; MUSCULOSKELETAL SYSTEM; TOPOLOGY;

EID: 33744828003     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/11566489_87     Document Type: Conference Paper
Times cited : (12)

References (16)
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  • 3
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    • A minimum description length approach to statistical shape modeling
    • R. Davies, C. Twining, T. Cootes, J. Waterton, and C. Taylor, "A minimum description length approach to statistical shape modeling," IEEE Trans. Med. Imag., vol. 21, no. 5, pp. 525-537, 2002.
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  • 4
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    • A framework for automatic landmark identification using a new method of nonrigid correspondence
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    • (2000) IEEE Trans. Pattern Anal. Machine Intell , vol.22 , Issue.3 , pp. 241-251
    • Hill, A.1    Taylor, C.2    Brett, A.3
  • 6
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    • Shape matching and object recognition using shape contexts
    • _, "Shape matching and object recognition using shape contexts," IEEE Trans. Pattern Anal. Machine Intell., vol. 24, pp. 509-522, 2002.
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  • 8
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    • A transformation for extracting new descriptors of shape
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    • Blum, H.1
  • 11
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    • (1993) Proc. ACM-SIAM Symposium on Discrete Algorithms , pp. 83-92
    • Ruppert, J.1
  • 12
    • 0032028909 scopus 로고    scopus 로고
    • The crust and the β-skeleton: Combinatorial curve reconstruction
    • D. E. N. Amenta, M. Bern, "The crust and the β-skeleton: Combinatorial curve reconstruction," Graphical Models and Image Processing, vol. 60, no. 2, pp. 125-135, 1998.
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  • 13
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    • Undersampling and oversampling in sample based shape modeling
    • San Diego, California, Oct.
    • T. Dey, J. Giesen, S. Goswami, J. Hudson, R. Wenger, and W. Zhao, "Undersampling and oversampling in sample based shape modeling," in Proc. IEEE Visualization, vol. I, San Diego, California, Oct. 2001, pp. 83-90.
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  • 14
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.