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Volumn 8, Issue 3, 2004, Pages 361-369

Generalized image models and their application as statistical models of images

Author keywords

Generalized image models; ICP; Kalman filter; Registration; Statistical shape models

Indexed keywords

ARTICLE; CONTROLLED STUDY; COVARIANCE; DISEASE CLASSIFICATION; FEASIBILITY STUDY; IMAGE ANALYSIS; IMAGE DISPLAY; IMAGE PROCESSING; INFORMATION PROCESSING; MATHEMATICAL ANALYSIS; MATHEMATICAL COMPUTING; PATHOLOGICAL ANATOMY; PRIORITY JOURNAL; STATISTICAL MODEL;

EID: 4444314014     PISSN: 13618415     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.media.2004.06.012     Document Type: Article
Times cited : (7)

References (19)
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  • 15
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    • Block matching: A general framework to improve robustness of rigid registration of medical images
    • Berlin: Springer
    • Ourselin S. Roche A. Prima S. Ayache N. Block matching: a general framework to improve robustness of rigid registration of medical images MICCAI'2000 2000 557-566 Springer Berlin
    • (2000) MICCAI'2000 , pp. 557-566
    • Ourselin, S.1    Roche, A.2    Prima, S.3    Ayache, N.4
  • 16
    • 0031360403 scopus 로고    scopus 로고
    • A framework for uncertainty and validation of 3D registration methods based on points and frames
    • Pennec X. Thirion J.-P. A framework for uncertainty and validation of 3D registration methods based on points and frames International Journal of Computer Vision 25 3 1997 203-229
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  • 17
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  • 18
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  • 19
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    • An introduction to the Kalman filter
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    • Welch, G., Bishop, G., 2001. An introduction to the Kalman filter. Tutorial at SIGGRAPH, 2001. http://www.cs.unc.edu/welch/kalman
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.