Robust cue integration: A Bayesian model and evidence from cue-conflict studies with stereoscopic and figure cues to slant

Journal of Vision

Volumn 7, Issue 7, 2007, Pages

  Knill, David C ^a  

^a UNIVERSITY OF ROCHESTER   (United States)

Author keywords

Bayes; Cue integration; Depth perception; Robust estimation; Slant perception

Indexed keywords

ADULT; ARTICLE; ASSOCIATION; BAYES THEOREM; CONFLICT; DEPTH PERCEPTION; HUMAN; PATTERN RECOGNITION; PSYCHOLOGICAL MODEL;

ADULT; BAYES THEOREM; CONFLICT (PSYCHOLOGY); CUES; DEPTH PERCEPTION; FORM PERCEPTION; HUMANS; MODELS, PSYCHOLOGICAL;

EID: 34249339429     PISSN: None     EISSN: 15347362     Source Type: Journal    
DOI: 10.1167/7.7.5     Document Type: Article

References (26)

1. Alais, D., & Burr, D. (2004). The ventriloquist effect results from near-optimal bimodal integration. Current Biology, 14, 257-262. [PubMed] [Article]
2. Battaglia, P. W., Jacobs, R. A., & Aslin, R. N. (2003). Bayesian integration of visual and auditory signals for spatial localization. Journal of the Optical Society of America A, Optics, image science, and vision, 20, 1391-1397. [PubMed]
3. Braunstein, M. L., & Payne, J. (1967). The effect of pattern and texture gradient on slant and shape judgments. Perception & Psychophysics, 81, 584-590.
4. Buckley, D., Frisby, J. P., & Blake, A. (1996). Does the human visual system implement an ideal observer theory of slant from texture? Vision Research, 36, 1163-1176. [PubMed]
5. Cumming, B. G., Johnston, E. B., & Parker, A. J. (1993). Effects of different texture cues on curved surfaces viewed stereoscopically. Vision Research, 33, 827-838. [PubMed]
6. Cutting, J. E., & Millard, R. T. (1984). Three gradients and the perception of flat and curved surfaces. Journal of Experimental Psychology: General, 113, 198-216. [PubMed]
7. Ernst, M. O., & Banks, M. S. (2002). Humans integrate visual and haptic information in a statistically optimal fashion. Nature, 415, 429-433. [PubMed]
8. Hillis, J. M., Watt, S. J., Landy, M. S., & Banks, M. S. (2004). Slant from texture and disparity cues: Optimal cue combination. Journal of Vision, 4(12):1, 967-992, http://journalofvision.org/4/ 12/1/, doi:10.1167/4.12.1. [PubMed] [Article]
9. Jacobs, R. A. (2002). What determines visual cue reliability? Trends in Cognitive Sciences, 6, 345-350. [PubMed]
10. Johnston, E. B., Cumming, B. G., & Landy, M. S. (1994). Integration of stereopsis and motion shape cues. Vision Research, 34, 2259-2275. [PubMed]
11. Johnston, E. B., Cumming, B. G., & Parker, A. J. (1993). Integration of depth modules: Stereopsis and texture. Vision Research, 33, 813-826. [PubMed]
12. Knill, D. C. (1998a). Discrimination of planar surface slant from texture: Human and ideal observers compared. Vision Research, 38, 1683-1711. [PubMed]
13. Knill, D. C. (1998b). Ideal observer perturbation analysis reveals human strategies for inferring surface orientation from texture. Vision Research, 38, 2635-2656. [PubMed]
14. Knill, D. C. (2003). Mixture models and the probabilistic structure of depth cues. Vision Research, 43, 831-854. [PubMed]
15. Knill, D. C. (2005). Reaching for visual cues to depth: The brain combines depth cues differently for motor control and perception. Journal of Vision, 5(2):2, 103-115, http://journalofvision.org/5/ 2/2/, doi:10.1167/5.2.2. [PubMed] [Article]
16. Knill, D. C., & Saunders, J. A. (2003). Do humans optimally integrate stereo and texture information for judgments of surface slant? Vision Research, 43, 2539-2558. [PubMed]
17. Kording, K. P., Beierholm, U., et al. (2007). Causal inference in multisensory perception. Manuscript submitted for publication.
18. 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. [PubMed]
19. Marr, D. (1982). Vision. Cambridge: MIT Press.
20. Regan, D., & Hamstra, S. J. (1992). Shape discrimination and the judgment of perfect symmetry: Dissociation of shape from size. Vision Research, 32, 1845-1864. [PubMed]
21. Smith, M. A., Ghazizadeh, A., & Shadmehr, R. (2006). Interacting adaptive processes with different timescales underlie short-term motor learning. Public Library of Science: Biology, 4, e179. [PubMed] [Article]
22. Tenenbaum, J. B., Griffiths, T. L., & Kemp, C. (2006). Theory-based Bayesian models of inductive learning and reasoning. Trends in Cognitive Sciences, 10, 309-318. [PubMed]
23. van Ee, R., Adams, W. J., & Mamassian, P. (2003). Bayesian modeling of cue interaction: Bistability in stereoscopic slant perception. Journal of the Optical Society of America A, Optics, image science, and vision, 20, 1398-1406. [PubMed]
24. Wonnacott, T. H., & Wonnacott, R. J. (1990). Introductory statistics. New York: John Wiley and Sons.
25. Young, M. J., Landy, M. S., & Maloney, L. T. (1993). A perturbation analysis of depth perception from combinations of texture and motion cues. Vision Research, 33, 2685-2696. [PubMed]
26. Yuille, A., & Bulthoff, H. H. (1996). Bayesian decision theory and psychophysics. In D. C. Knill & W. Richards (Eds.), Perception as Bayesian inference. Cambridge, England: Cambridge University Press.