Regularizing phase-based stereo

Proceedings - International Conference on Pattern Recognition

Volumn 1, Issue , 1996, Pages 451-455

  Frohlinghaus, T ^a   Buhmann, J M ^a  

^a UNIVERSITY OF BONN   (Germany)

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTER GRAPHICS; IMAGE SEGMENTATION; MARKOV PROCESSES; PATTERN RECOGNITION; PROBABILITY DISTRIBUTIONS;

ARTIFICIAL IMAGE; DISPARITY ESTIMATIONS; LATTICE MODELING; MARKOV RANDOM FIELDS; PHASE DIFFERENCE; REGULARIZATION SCHEMES; SINGLE CONFIGURATION; SMOOTHNESS CONSTRAINTS;

IMAGE CODING;

EID: 84898781313     PISSN: 10514651     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICPR.1996.546067     Document Type: Conference Paper

References (10)

1. J. Daugman. Uncertainty relation for resolution in space, spatial frequency, and orientation optimized by two-dimensional visual cortical filters. J. Opt. Soc. Am. A, 2:1160-1169,1985.
2. O. Faugeras. Three-Dimensional Computer Vision: A Geometric Viewpoint. MIT Press, 1993.
3. D. Fleet and A. Jepson. Stability of phase information. IEEE Transactions on Pattern Analysis and Machine Intelligence, PAMl-15(12):1253-1268,1993.
4. D. Fleet, A. Jepson, and M. Jenkin. Phase-based disparity measurement. CVGIP: Image Understanding, 53:198-210, 1991.
5. D. Gabon Theory of communication. Journal of the Institution of Electrical Engineers, 93:429-459, 1946.
6. G. G. H. and H. Knutsson. Signal Processing for Computer Vision. Kluwer Academic Publishers, 1995.
7. S. Li. Markov Random Field Modeling in Computer Vision. Springer, 1995.
8. D. Marr and T. Poggio. A computational theory of human stereo vision. Proc. R. Soc. Lond. B, 204:301-328,1979.
9. T. Poggio, V. Torre, and C. Koch. Computational vision and regularization theory. Nature, 317:314-319,1985.
10. T. Sanger. Stereo disparity computation using gabor filters. Biological Cybernetics, 59:405-418, 1988.