The role of crowding in contextual influences on contour integration

Journal of Vision

Volumn 12, Issue 7, 2012, Pages

  Robol, Valentina ^a   Casco, Clara ^a   Dakin, Steven C ^b  

^a UNIVERSITY OF PADOVA   (Italy)

^b UNIVERSITY COLLEGE LONDON   (United Kingdom)

Author keywords

Context; Contour integration; Contour shape processing; Visual crowding

Indexed keywords

ARTICLE; CONTRAST SENSITIVITY; CROWDING; HUMAN; METHODOLOGY; ORIENTATION; PATTERN RECOGNITION; PERCEPTIVE DISCRIMINATION; PHOTOSTIMULATION; PHYSIOLOGY; PSYCHOPHYSICS; RECEPTIVE FIELD;

CONTRAST SENSITIVITY; CROWDING; DISCRIMINATION (PSYCHOLOGY); FIELD DEPENDENCE-INDEPENDENCE; FORM PERCEPTION; HUMANS; ORIENTATION; PATTERN RECOGNITION, VISUAL; PHOTIC STIMULATION; PSYCHOPHYSICS;

EID: 84867396084     PISSN: None     EISSN: 15347362     Source Type: Journal    
DOI: 10.1167/12.7.3     Document Type: Article

References (45)

1. Anderson, E. J., Dakin, S. C., Schwarzkopf, D. S., & Rees, G., & Greenwood, J. (in press). The neural correlates of crowding-induced changes in appearance. Current Biology.
2. Andriessen, J. J., & Bouma, H. (1976). Eccentric vision: adverse interactions between line segments. Vision Research, 16(1), 71-78.
3. Bex, P. J., Simmers, A. J., & Dakin, S. C. (2001). Snakes and ladders: the role of temporal modulation in visual contour integration. Vision Research, 41(27), 3775-3782.
4. Brainard, D. H. (1997). The Psychophysics Toolbox. Spatial Vision, 10(4), 433-436.
5. Casco, C., & Campana, G. (1999). Spatial interactions in simple and combined-feature visual search. Spatial Vision, 12(4), 467-483.
6. Chakravarthi, R., & Pelli, D. G. (2011). The same binding in contour integration and crowding. Journal of Vision, 11(8):10, 1-12, http://www. journalofvision.org/content/11/8/10, doi:10.1167/ 11.8.10.
7. Dakin, S. C., & Baruch, N. J. (2009). Context influences contour integration. Journal of Vision, 9(2):13, 1-13, http://www.journalofvision.org/9/2/ 13/, doi:10.1167/9.2.13.
8. Dakin, S. C., Bex, P. J., Cass, J. R., & Watt, R. J. (2009). Dissociable effects of attention and crowding on orientation averaging. Journal of Vision, 9(11):28, 1-16, http://www.journalofvision.org/9/ 11/28/, doi:10.1167/9.11.28.
9. Dakin, S. C., Cass, J., Greenwood, J. A., & Bex, P. J. (2010). Probabilistic, positional averaging predicts object-level crowding effects with letter-like stimuli. Journal of Vision, 10(10):14, 1-16, http://www. journalofvision.org/content/10/10/14, doi:10.1167/ 10.10.14.
10. Dakin, S. C., & Hess, R. F. (1998). Spatial-frequency tuning of visual contour integration. Journal of the Optical Society of America A, Optics, Image Science, and Vision, 15(6), 1486-1499.
11. Dakin, S. C., & Hess, R. F. (1999). Contour integration and scale combination processes in visual edge detection. Spatial Vision, 12(3), 309-327.
12. Elder, J. H., & Goldberg, R. M. (2002). Ecological statistics of Gestalt laws for the perceptual organization of contours. Journal of Vision, 2(4):5, 324- 353. http://www.journalofvision.org/2/4/5/, doi:10. 1167/2.4.5.
13. 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(2), 173-193.
14. Freeman, J., & Simoncelli, E. P. (2011). Metamers of the ventral stream. Nature Neuroscience, 14(9), 1195-1201.
15. Geisler, W. S., Perry, J. S., Super, B. J., & Gallogly, D. P. (2001). Edge co-occurrence in natural images predicts contour grouping performance. Vision Research, 41(6), 711-724.
16. Greenwood, J. A., Bex, P. J., & Dakin, S. C. (2009). Positional averaging explains crowding with letterlike stimuli. Proceedings of the National Academy of Sciences of the United States of America, 106(31), 13 130-13 135.
17. Greenwood, J. A., Bex, P. J., & Dakin, S. C. (2010). Crowding changes appearance. Current Biology, 20(6), 496-501.
18. Hess, R. F., & Dakin, S. C. (1997). Absence of contour linking in peripheral vision. Nature, 390(6660), 602-604.
19. Hess, R. F., & Dakin, S. C. (1999). Contour integration in the peripheral field. Vision Research, 39(5), 947- 959.
20. Hess, R. F., & Field, D. J. (1995). Contour integration across depth. Vision Research, 35(12), 1699-1711.
21. Hess, R. F., Ledgeway, T., & Dakin, S. C. (2000). Impoverished second-order input to global linking in human vision. Vision Research, 40(24), 3309- 3318.
22. Keeble, D. R., & Hess, R. F. (1999). Discriminating local continuity in curved figures. Vision Research, 39(19), 3287-3299.
23. Kingdom, F. A., & Prins, N. (2009). Texture-surround suppression of contour-shape coding in human vision. Neuroreport, 20(1), 5-8.
24. Kleiner, M., Brainard, D., & Pelli, D. (2007). What's new in Psychtoolbox-3?. Perception, 36 (ECVP Abstract Supplement).
25. Kovacs, I., & Julesz, B. (1993). A closed curve is much more than an incomplete one: effect of closure in figure-ground segmentation. Proceedings of the National Academy of Sciences of the United States of America, 90(16), 7495-7497.
26. Kuai, S. G., & Yu, C. (2006). Constant contour integration in peripheral vision for stimuli with good Gestalt properties. Journal of Vision, 6(12):7, 1412-1420. http://www.journalofvision.org/6/12/7/, doi:10.1167/6.12.7.
27. Ledgeway, T., Hess, R. F., & Geisler, W. S. (2005). Grouping local orientation and direction signals to extract spatial contours: empirical tests of "association field" models of contour integration. Vision Research, 45(19), 2511-2522.
28. Levi, D. M. (2008). Crowding-an essential bottleneck for object recognition: a mini-review. Vision Research, 48(5), 635-654.
29. Li, W., & Gilbert, C. D. (2002). Global contour saliency and local colinear interactions. Journal of Neurophysiology, 88(5), 2846-2856.
30. Livne, T., & Sagi, D. (2007). Configuration influence on crowding. Journal of Vision, 7(2):4, 1-12, http:// www.journalofvision.org/7/2/4/, doi:10.1167/7.2.4.
31. May, K. A., & Hess, R. F. (2007). Ladder contours are undetectable in the periphery: a crowding effect?. Journal of Vision, 7(13):9, 1-15, http://www. journalofvision.org/7/13/9/, doi:10.1167/7.13.9.
32. Parkes, L., Lund, J., Angelucci, A., Solomon, J. A., & Morgan, M. (2001). Compulsory averaging of crowded orientation signals in human vision. Nature Neuroscience, 4(7), 739-744.
33. Pelli, D. G. (1997). The VideoToolbox software for visual psychophysics: transforming numbers into movies. Spatial Vision, 10(4), 437-442.
34. Pelli, D. G., Palomares, M., & Majaj, N. J. (2004). Crowding is unlike ordinary masking: distinguishing feature integration from detection. Journal of Vision, 4(12):12, 1136-1169. http://www. journalofvision.org/4/12/12/, doi:10.1167/4.12.12.
35. Pennefather, P. M., Chandna, A., Kovacs, I., Polat, U., & Norcia, A. M. (1999). Contour detection threshold: repeatability and learning with 'contour cards'. Spatial Vision, 12(3), 257-266.
36. Robol, V., Anderson, E. J., Tibber, M. S., Bobin, T., Carlin, P., Shergill, S. S., et al. (in preparation). Reduced crowding and poor contour detection in schizophrenia are consistent with weak surround inhibition.
37. Roelfsema, P. R., Scholte, H. S., & Spekreijse, H. (1999). Temporal constraints on the grouping of contour segments into spatially extended objects. Vision Research, 39(8), 1509-1529.
38. Sagi, D. (1990). Detection of an orientation singularity in Gabor textures: effect of signal density and spatial-frequency. Vision Research, 30(9), 1377- 1388.
39. Schumacher, J. F., Quinn, C. F., & Olman, C. A. (2011). An exploration of the spatial scale over which orientation-dependent surround effects affect contour detection. Journal of Vision, 11(8):12, 1-12, http://www.journalofvision.org/content/11/8/12, doi:10.1167/11.8.12.
40. Silverstein, S. M., Kovacs, I., Corry, R., & Valone, C. (2000). Perceptual organization, the disorganization syndrome, and context processing in chronic schizophrenia. Schizophrenia Research, 43(1), 11- 20.
41. Toet, A., & Levi, D. M. (1992). The two-dimensional shape of spatial interaction zones in the parafovea. Vision Research, 32(7), 1349-1357.
42. van den Berg, R., Roerdink, J. B., & Cornelissen, F. W. (2010). A neurophysiologically plausible population code model for feature integration explains visual crowding. PLoS Computational Biology, 61: e1000646.
43. Watson, A. B., & Pelli, D. G. (1983). QUEST: a Bayesian adaptive psychometric method. Perception & Psychophysics, 33(2), 113-120.
44. Whitney, D., & Levi, D. M. (2011). Visual crowding: a fundamental limit on conscious perception and object recognition. Trends in Cognitive Sciences, 15(4), 160-168.
45. Wilkinson, F., Wilson, H. R., & Ellemberg, D. (1997). Lateral interactions in peripherally viewed texture arrays. Journal of the Optical Society of America A, Optics, Image Science, and Vision, 14(9), 2057- 2068.