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Volumn I, Issue , 2005, Pages 158-165

Hilbert functions and applications to the estimation of subspace arrangements

Author keywords

[No Author keywords available]

Indexed keywords

HILBERT FUNCTIONS; MODEL SELECTION PROBLEMS; SUBSPACE ARRANGEMENTS; SUBSPACE-SEGMENTATION;

EID: 33745945906     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICCV.2005.114     Document Type: Conference Paper
Times cited : (11)

References (17)
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  • 3
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    • Random sample consensus: A paradigm for model fitting with applications to image analysis and automated cartography
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    • Fischler, M.1    Bolles, R.2
  • 7
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    • Reconstruction of a scene with multiple linearly moving objects
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    • Ho, J.1    Yang, M.2    Lim, J.3    Lee, K.4    Kriegman, D.5
  • 10
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    • A multi-scale hybrid linear model for lossy image representation
    • W. Hong, J. Wright, K. Huang, and Y. Ma. A multi-scale hybrid linear model for lossy image representation. In ICCV, 2005.
    • (2005) ICCV
    • Hong, W.1    Wright, J.2    Huang, K.3    Ma, Y.4
  • 11
    • 33745821258 scopus 로고    scopus 로고
    • Motion segmentation by subspace separation: Model selection and reliability evaluation
    • K. Kanatani. Motion segmentation by subspace separation: model selection and reliability evaluation. International Journal of Image and Graphics, 2(2): 179-197, 2002.
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    • Multi-frame infinitesimal motion model for the reconstruction of (dynamic) scenes with multiple linearly moving objects
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    • Motion segmentation with missing data using PowerFactorization and GPCA
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.