A summary-statistic representation in peripheral vision explains visual crowding

Journal of Vision

Volumn 9, Issue 12, 2009, Pages 1-18

  Balas, Benjamin ^a   Nakano, Lisa ^b   Rosenholtz, Ruth ^b  

^a BOSTON CHILDREN S HOSPITAL   (United States)

^b MASSACHUSETTS INSTITUTE OF TECHNOLOGY   (United States)

Author keywords

Computational model; Crowding; Peripheral vision; Texture perception; Texture synthesis

Indexed keywords

ARTICLE; BIOLOGICAL MODEL; COMPUTER SIMULATION; CROWDING; EYE FIXATION; HUMAN; NERVE CELL; PATTERN RECOGNITION; PHOTOSTIMULATION; PHYSIOLOGY; PSYCHOLOGICAL MODEL; PSYCHOPHYSICS; VISION; VISUAL FIELD;

COMPUTER SIMULATION; CROWDING; FIXATION, OCULAR; HUMANS; MODELS, NEUROLOGICAL; MODELS, PSYCHOLOGICAL; NEURONS; PATTERN RECOGNITION, VISUAL; PHOTIC STIMULATION; PSYCHOPHYSICS; VISION, OCULAR; VISUAL FIELDS;

EID: 77950364153     PISSN: None     EISSN: 15347362     Source Type: Journal    
DOI: 10.1167/9.12.1     Document Type: Article

References (49)

1. Andriessen, J. J., & Bouma, H. (1976). Eccentric vision: Adverse interactions between line segments. Vision Research, 16, 71-78.
2. Anstis, S. M. (1974). Letter: A chart demonstrating variations in acuity with retinal position. Vision Research, 14, 589-592.
3. Balas, B. J. (2006). Texture synthesis and perception: Using computational models to study texture representations in the human visual system. Vision Research, 46, 299-309.
4. Beck, J. (1983). Textural segmentation, second-order statistics, and textural elements. Biological Cybernetics, 48, 125-130.
5. Brettel, H., Viénot, F., & Mollon, J. D. (1997). Computerized simulation of color appearance for dichromats. Journal of the Optical Society of America A, Optics, Image Science, and Vision, 14, 2647-2655.
6. Brodatz, P. (1996). Textures: A photographic album for artists and designers. New York: Dover.
7. Chubb, C., Nam, J.-H., Bindman, D. R., & Sperling, G. (2007). The three dimensions of human visual sensitivity to first-order contrast statistics. Vision Research, 47, 2237-2248.
8. Chung, S. T., Levi, D. M., & Legge, G. E. (2001). Spatial-frequency and contrast properties of crowding. Vision Research, 41, 1833-1850.
9. Donk, M. (1999). Illusory conjunctions are an illusion: The effects of target-nontarget similarity on conjunction and feature errors. Journal of Experimental Psychology: Human Perception and Performance, 25, 1207-1233.
10. Donner, K. O., & Rushton, W. A. (1959). Retinal stimulation by light substitution. The Journal of Physiology, 149, 288-302.
11. Ehlers, H. (1936). The movements of the eyes during reading. Acta Ophthalmologica, 14, 56.
12. Eriksen, C. W., & Hoffman, J. E. (1973). The extent of processing of noise elements during selective encoding from visual displays. Perception & Psychophysics, 14, 155-160.
13. Estes, W. K. (1982). Similarity-related channel interactions in visual processing. Journal of Experimental Psychology: Human Perception and Performance, 8, 353-382.
14. Flom, M. C. (1991). Contour interaction and the crowding effect. Problems in Optometry, 3, 237-257.
15. Freeman, J., & Pelli, D. G. (2007). An escape from crowding. Journal of Vision, 7(2):22, 1-14, http://journalofvision.org/7/2/22/, doi:10.1167/7.2.22.
16. Fukushima, K. (1980). Neocognitron: A self-organizing neural network model for a mechanism of pattern recognition unaffected by shift in position. Biological Cybernetics, 36, 193-202.
17. Greene, M. R., & Oliva, A. (2009). Recognition of natural scenes from global properties: Seeing the forest without representing the trees. Cognitive Psychology, 58, 137-176.
18. Heeger, D., & Bergen, J. (1995). Pyramid-based texture analysis/synthesis. Proceedings of the 22nd Annual Conference on Computer Graphics & Interactive Techniques, 30, 229-238.
19. Ivry, R. B., & Prinzmetal, W. (1991). Effect of feature similarity on illusory conjunctions. Perception & Psychophysics, 49, 105-116.
20. Julesz, B. (1981). A theory of preattentive texture discrimination based on first-order statistics of textons. Biological Cybernetics, 41, 131-138.
21. Keeble, D. R. T., Kingdom, F. A. A., Moulden, B., & Morgan, M. J. (1995). Detection of orientationally multimodal textures. Vision Research, 35, 1991-2005.
22. Kooi, F. L., Toet, A., Tripathy, S. P., & Levi, D. M. (1994). The effect of similarity and duration on spatial interaction in peripheral vision. Spatial Vision, 8, 255-279.
23. Levi, D. M., Hariharan, S., & Klein, S. A. (2002). Suppressive and facilitatory spatial interactions in peripheral vision: Peripheral crowding is neither size invariant nor simple contrast masking. Journal of Vision, 2(2):3, 167-177, http://journalofvision.org/2/2/3/, doi:10.1167/2.2.3.
24. Loomis, J. M. (1978). Lateral masking in foveal and eccentric vision. Vision Research, 18, 335-338.
25. Lowe, D. G. (2004). Distinctive image features from scale-invariant keypoints. International Journal of Computer Vision, 60, 91-110.
26. Martelli, M., Majaj, N. J., & Pelli, D. G. (2005). Are face processed like words? A diagnostic test for recognition by parts. Journal of Vision, 5(1):6, 58-70, http://journalofvision.org/5/1/6/, doi:10.1167/5.1.6.
27. "mongrel." Merriam-Webster Online Dictionary. (2008). Merriam-Webster Online. 12 June 2008, http://www.merriam-webster.com/dictionary/mongrel.
28. Motoyoshi, I., Nishida, S., Sharan, L., & Adelson, E. H. (2007). Image statistics and the perception of surface qualities. Nature, 447, 206-209.
29. Nakayama, K. (1990). The iconic bottleneck and the tenuous link between early visual processing and perception. In C. Blakemore (Ed.), Vision: Coding & efficiency (pp. 411-422). Cambridge, England: Cambridge University Press.
30. Nazir, T. A. (1992). Effects of lateral masking and spatial precueing on gap-resolution in central and peripheral vision. Vision Research, 32, 771-777.
31. Oliva, A., & Torralba, A. (2001). Modeling the shape of a scene: A holistic representation of the spatial envelope. International Journal of Computer Vision, 42, 145-175.
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, 739-744.
33. Peli, E., & Geri, G. (1999). Testing the simulation of peripheral vision with image discrimination. Technical Digest of Papers, SID-99, Digest, 424-427.
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://journalofvision.org/4/12/12/, doi:10.1167/4.12.12.
35. Pelli, D. G., & Tillman, K. A. (2008). The uncrowded window of object recognition. Nature Neuroscience, 11, 1129-1135.
36. Portilla, J., & Simoncelli, E. (2000). A parametric texture model based on joint statistics of complex wavelet coefficients. International Journal of Computer Vision, 40, 49-71.
37. Renninger, L. W., & Malik, J. (2004). When is scene identification just texture recognition? Vision Research, 44, 2301-2311.
38. Richards, W. (1979). Quantifying sensory channels: Generalizing colorimetry to orientation and texture, touch, and tones. Sensory Processes, 3, 207-229.
39. Riesenhuber, M., & Poggio, T. (1999). Hierarchical models of object recognition in cortex. Nature Neuroscience, 2, 1019-1025.
40. Rosenholtz, R. (1999). A simple saliency model predicts a number of motion popout phenomena. Vision Research, 39, 3157-3163.
41. Rosenholtz, R. (2000). Significantly different textures: A computational model of pre-attentive texture segmentation. In Vernon (Ed.), Proceedings of the European Conference on Computer Vision, LNCS 1843 (pp. 197-211). Dublin, Ireland: Springer Verlag.
42. Rosenholtz, R. (2001). Search asymmetries? What search asymmetries? Perception & Psychophysics, 63, 476-489.
43. Strasburger, H., Harvey, L. O., Jr., & Rentschler, I. (1991). Contrast thresholds for identification of numeric characters in direct and eccentric view. Perception & Psychophysics, 49, 495-508.
44. van den Berg, R., Cornelissen, F. W., & Roerdink, J. B. (2009). A crowding model of visual clutter, Journal of Vision, 9(4):24, 1-11, http://journalofvision.org/9/4/24/, doi:10.1167/9.4.24.
45. van den Berg, R., Roerdink, J. B., & Cornelissen, F. W. (2007). On the generality of crowding: Visual crowding in size, saturation, and hue compared to orientation. Journal of Vision, 7(2):14, 1-11, http://journalofvision.org/7/2/14/, doi:10.1167/7.2.14.
46. van Essen, D. C., & Anderson, C. H. (1990). Information processing strategies and pathways in the primate retina and visual cortex. In S. F. Zornetzer, J. L. Davis, & C. Lau (Eds.), Introduction to neural & electronic networks (pp. 43-72). San Diego, CA: Academic Press Professionals, Inc.
47. Virsu, V., & Rovamo, J. (1979). Visual resolution, contrast sensitivity, and the cortical magnification factor. Experimental Brain Research. Experimentelle Hirnforschung. Expeŕimentation Cérébrale, 37, 475-494.
48. Voorhees, H., & Poggio, T. (1988). Computing texture boundaries from images. Nature, 333, 364-367.
49. 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, 2057-2068.