Bayesian contour integration

Perception and Psychophysics

Volumn 63, Issue 7, 2001, Pages 1171-1182

  Feldman, Jacob ^a  

^a RUTGERS UNIVERSITY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ADULT; ARTICLE; BAYES THEOREM; DECISION MAKING; FEMALE; HUMAN; MALE; PATTERN RECOGNITION; STATISTICAL MODEL; VISION;

ADULT; BAYES THEOREM; FEMALE; HUMAN; JUDGMENT; LIKELIHOOD FUNCTIONS; MALE; PATTERN RECOGNITION, VISUAL; SUPPORT, U.S. GOV'T, NON-P.H.S.; VISUAL PERCEPTION;

EID: 0035490661     PISSN: 00315117     EISSN: None     Source Type: Journal    
DOI: 10.3758/BF03194532     Document Type: Article

References (35)

1. ADELSON, E. H. (1993). Perceptual organization and the judgment of brightness. Science, 262, 2042-2044.
2. BERNARDO, J. M., & SMITH, A. F. M. (1994). Bayesian theory. Chichester, U.K.: Wiley.
3. BRUNSWIK, E. (1956). Perception and the representative design of psychological experiments. Berkeley: University of California Press.
4. BÜLTHOFF, H. H., & YUILLE, A. L. (1991). Bayesian models for seeing shapes and depth. Comments on Theoretical Biology, 2, 283-314.
5. CAELLI, T. M., & UMANSKY, J. (1976). Interpolation in the visual system. Vision Research, 16, 1055-1060.
6. COMPTON, B. J., & LOGAN, G. D. (1993). Evaluating a computational model of perceptual grouping by proximity. Perception & Psychophysics, 53, 403-421.
7. FELDMAN, J. (1996), Regularity vs. genericity in the perception of collinearity. Perception, 25, 335-342.
8. FELDMAN, J. (1997). Curvilinearity, covariance, and regularity in perceptual groups. Vision Research, 37, 2835-2848.
9. FELDMAN, J. (2000). Bias toward regular form in mental shape spaces. Journal of Experimental Psychology: Human Perception & Performance, 26, 1-14.
10. FIELD, D. J., HAYES, A., & HESS, R. F. (1993). Contour integration by the human visual system: Evidence for a local "association field." Vision Research, 33, 173-193.
11. GILBERT, C. D. (1995). Dynamic properties of adult visual cortex. In M. S. Gazzaniga (Ed.), The cognitive neurosciences (pp. 73-90). Cambridge, MA: MIT Press.
12. GILCHRIST, A. L. (1977). Perceived lightness depends on perceived spatial arrangement. Science, 195, 185-187.
13. GLASS, L. (1969). Moiré effects from random dots. Nature, 223, 578-580.
14. HE, Z. J., & NAKAYAMA, K. (1992). Surfaces versus features in visual search. Nature, 359, 231-233.
15. JAYNES, E. T. (1983). E. T. Jaynes: Papers on probability, statistics and statistical physics (R. D. Rosenkrantz, Ed.). Dordrecht: D. Reidel.
16. JAYNES, E. T. (1993). A backward look to the future. In W. T. Grandy & P. W. Milonni (Eds.), Physics and probability (pp. 261-275). Cambridge: Cambridge University Press.
17. JEPSON, A., RICHARDS, W. A., & KNILL, D. C. (1996). Modal structure and reliable inference. In D. C. Knill & W. Richards (Eds.), Perception as Bayesian inference (pp. 63-92). Cambridge: Cambridge University Press.
18. KNILL, D., & RICHARDS, W. (EDS.). (1996). Perception as Bayesian inference. Cambridge: Cambridge University Press.
19. KUBOVY, M., HOLCOMBE, A. O., & WAGEMANS, J. (1998). On the lawfulness of grouping by proximity. Cognitive Psychology, 35, 71-98.
20. KUBOVY, M., & WAGEMANS, J. (1995). Grouping by proximity and multistability in dot lattices: A quantitative gestalt theory. Psychological Science, 6, 225-234.
21. LANDY, M. S., MALONEY, L. T., JOHNSTON, E. B., & YOUNG, M. (1995). Measurement and modeling of depth cue combination: In defense of weak fusion. Vision Research, 35, 389-412.
22. LINK, N. K., & ZUCKER, S. W. (1987). Sensitivity to corners of flow patterns. Spatial Vision, 2, 233-244.
23. LIU, Z., KNILL, D. C., & KERSTEN, D. (1995). Object classification for human and ideal observers. Vision Research, 35, 549-568.
24. MAMASSIAN, P., & LANDY, M. S. (1998). Observer biases in the 3D interpretation of line drawings. Vision Research, 38, 2817-2832.
25. NAKAYAMA, D., & SHIMOJO, S. (1992). Experiencing and perceiving visual surfaces. Science, 257, 1357-1363.
26. PARENT, P., & ZUCKER, S. W. (1989). Trace inference, curvature consistency, and curve detection. IEEE Transactions on Pattern Analysis & Machine Intelligence, 11, 823-839.
27. PIZLO, Z., SALACH-GOLYSKA, M., & ROSENFELD, A. (1997). Curve detection in a noisy image. Vision Research, 37, 1217-1241.
28. RICHARDS, W. A., JEPSON, A., & FELDMAN, J. (1996). Priors, preferences, and categorical percepts. In D. C. Knill & W. Richards (Eds.), Perception as Bayesian inference (pp. 93-122). Cambridge: Cambridge University Press.
29. SHIMOJO, S., & NAKAYAMA, K. (1990). Amodal representation of occluded surfaces: Role of invisible stimuli in apparent motion correspondences. Perception, 19, 285-299.
30. SMITS, J. T., & VOS, P. G. (1987). The perception of continuous curves in dot stimuli. Perception, 16, 121-131.
31. SMITS, J. T., VOS, P. G., & VAN OEFFELEN, M. P. (1985). The perception of a dotted line in noise: A model of good continuation and some experimental results. Spatial Vision, 1, 163-177.
32. TREISMAN, A. (1982). Perceptual grouping and attention in visual search for features and for objects. Journal of Experimental Psychology: Human Perception & Performance, 8, 194-214.
33. WEISS, Y., & ADELSON, E. H. (1998). Slow and smooth: A Bayesian theory for the combination of local motion signals in human vision (A.I. Memo No. 1624). Cambridge, MA: Massachusetts Institute of Technology, Artificial Intelligence Laboratory.
34. YUILLE, A. L., & BÜLTHOFF, H. H. (1996). Bayesian decision theory and psychophysics. In D. C. Knill & W. Richards (Eds.), Perception as Bayesian inference (pp. 123-162). Cambridge: Cambridge University Press.
35. ZUCKER, S. W., STEVENS, K. A., & SANDER, P. (1983). The relation between proximity and brightness similarity in dot patterns. Perception & Psychophysics, 34, 513-522.