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Volumn , Issue , 2008, Pages

Regularizing optical-flow computation using tensor theory and complex analysis

Author keywords

[No Author keywords available]

Indexed keywords

COMPLEX ANALYSIS; FLOW-DRIVEN; OPTICAL-FLOW; VARIATIONS OF;

EID: 51849097654     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/CVPRW.2008.4562971     Document Type: Conference Paper
Times cited : (3)

References (14)
  • 1
    • 6944257066 scopus 로고    scopus 로고
    • Lucas/Kanade Meets Horn/Schunck: Combining Local and Global Optical Flow Methods
    • A. Bruhn and J. Weickert. Lucas/Kanade Meets Horn/Schunck: Combining Local and Global Optical Flow Methods. Int. J. Comput. Vision, 61:211-231, 2005.
    • (2005) Int. J. Comput. Vision , vol.61 , pp. 211-231
    • Bruhn, A.1    Weickert, J.2
  • 2
    • 0029207717 scopus 로고
    • A Nonlinear Regularization Approach to Early Vision
    • C. Schnörr and R. Sprengel. A Nonlinear Regularization Approach to Early Vision. Biol. Cybern., 72:141-149, 1994.
    • (1994) Biol. Cybern , vol.72 , pp. 141-149
    • Schnörr, C.1    Sprengel, R.2
  • 6
    • 0033285714 scopus 로고    scopus 로고
    • Multi-Frame Optical Flow Estimation Using Subspace Constraints
    • M. Irani. Multi-Frame Optical Flow Estimation Using Subspace Constraints. In Proc. Int. Conf. Comput. Vision, 1999.
    • (1999) Proc. Int. Conf. Comput. Vision
    • Irani, M.1
  • 7
    • 0035577754 scopus 로고    scopus 로고
    • A Theoretical Framework for Convex Regularizers in PDE-Based Computation of Image Motion
    • J. Weickert and C. Schnörr. A Theoretical Framework for Convex Regularizers in PDE-Based Computation of Image Motion. Int. J. Comput. Vision, 45:245-264, 2001.
    • (2001) Int. J. Comput. Vision , vol.45 , pp. 245-264
    • Weickert, J.1    Schnörr, C.2
  • 8
    • 0026255016 scopus 로고
    • On the Mathematical Foundations of Smoothness Constraints for the Determination of Optical Flow and for Surface Reconstruction
    • M. A. Snyder. On the Mathematical Foundations of Smoothness Constraints for the Determination of Optical Flow and for Surface Reconstruction. IEEE Trans. Pattern Analy. Machine Intell., 13:1105-1114, 1991.
    • (1991) IEEE Trans. Pattern Analy. Machine Intell , vol.13 , pp. 1105-1114
    • Snyder, M.A.1
  • 9
    • 84939359799 scopus 로고
    • An Investigation of Smoothness Constraints for the Estimation of Displacement Vector Fields from Image Sequences
    • H. H. Nagcl and W. Enkclmann. An Investigation of Smoothness Constraints for the Estimation of Displacement Vector Fields from Image Sequences. IEEE Trans. Pattern Analy. Machine Intell., 8:565-593, 1986.
    • (1986) IEEE Trans. Pattern Analy. Machine Intell , vol.8 , pp. 565-593
    • Nagcl, H.H.1    Enkclmann, W.2
  • 10
    • 0025465145 scopus 로고
    • Scale-Space and Edge Detection Using Anisotropic Diffusion
    • P. Perona and J. Malik. Scale-Space and Edge Detection Using Anisotropic Diffusion. IEEE Trans. Pattern Analy. Machine Intell., 12:629-638, 1990.
    • (1990) IEEE Trans. Pattern Analy. Machine Intell , vol.12 , pp. 629-638
    • Perona, P.1    Malik, J.2
  • 12
    • 33645367215 scopus 로고    scopus 로고
    • On the Spatial Statistics of Optical Flow
    • S. Roth and M. J. Black. On the Spatial Statistics of Optical Flow. In Proc. Int. Conf. Comput. Vision, volume 1, pages 42-49, 2005.
    • (2005) Proc. Int. Conf. Comput. Vision , vol.1 , pp. 42-49
    • Roth, S.1    Black, M.J.2
  • 13
    • 51849128579 scopus 로고    scopus 로고
    • Y. Saad. Iterative Methods for Linear Systems. 2nd Ed. SIAM. 2003.
    • Y. Saad. Iterative Methods for Linear Systems. 2nd Ed. SIAM. 2003.


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.