Orientation estimation: Conventional techniques and a new non-differential approach

European Signal Processing Conference

Volumn 2015-March, Issue March, 2000, Pages

  Mester, Rudolf ^a  

^a GOETHE UNIVERSITY   (Germany)

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTATION THEORY;

AUTOCOVARIANCE FUNCTIONS; COMPUTATIONAL EFFORT; CONVENTIONAL APPROACH; CONVENTIONAL TECHNIQUES; DIFFERENTIAL APPROACH; DIFFERENTIATION FILTERS; ESTIMATION APPROACHES; ORIENTATION ESTIMATION;

SIGNAL PROCESSING;

EID: 84937046683     PISSN: 22195491     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (11)

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2. Aach, T. ; Kunz, D. : Anisotropic Spectral Magnitude Estimation for Noise Reduction and Image Enhancement. Proceedings ICIP-96, Sept. 1996, pp. 335-338 (for an extended version see also: Signal Processing, vol. 80, no. 11, 2000)
3. Bigiin, J. ; Granlund, G. H. : Optimal Orientation Detection of Linear Symmetry. Proc. ICCV, London, June 1987, pp. 433-438
4. Elad, M. ; Teo, P. ; Hel-Or, Y. : Optimal filters for gradient-based motion estimation. Proc. ICCV'99, Corfu (GR), 1999, pp. 559-565.
5. Granlund, G. H. ; Knutsson, H. : Signal processing for computer vision. Kluver , 1995
6. Jahne, B. : Digital Image Processing. Springer Verlag, 3rd edition, 1995.
7. Kass, M. ; Witkin, A. : Analysing oriented patterns. Computer Vision, Graphics, and Image Processing, vol. 37, 1987, pp. 362-385.
8. Muhlich, M. ; Mester, R. : The Role of Total Least Squares in Motion Analysis. Proc. ECCV'98, pp. 305-321.
9. Muhlich, M. ; Mester, R. : Subspace Methods and Equilibration in Computer Vision. Submitted 2000; see also Technical Report XP-TR-C-21 at http://www. rz. uni-frankfurt. de/"mester.
10. Papoulis, A. : Signal Analysis. 3rd edition, McGraw-Hill Inc. 1984.
11. Unser, M. : Splines: A perfect fit for signal and Image processing. IEEE Signal Processing Magazine, Nov. 1999, pp. 22-38.