Using geometric moments to explain human letter recognition near the acuity limit

Journal of Vision

Volumn 9, Issue 1, 2009, Pages

  Liu, Lei ^a   Klein, Stanley A ^b   Xue, Feng ^c   Zhang, Jun Yun ^d   Yu, Cong ^d  

^a UNIVERSITY OF ALABAMA AT BIRMINGHAM   (United States)

^b UNIVERSITY OF CALIFORNIA   (United States)

^c FUDAN UNIVERSITY   (China)

^d BEIJING NORMAL UNIVERSITY   (China)

Author keywords

Computational modeling; Object recognition; Visual acuity

Indexed keywords

ARTICLE; HUMAN; LANGUAGE; MATHEMATICS; PATTERN RECOGNITION; PSYCHOLOGICAL MODEL; PSYCHOPHYSICS; VISUAL ACUITY;

HUMANS; LANGUAGE; MATHEMATICS; MODELS, PSYCHOLOGICAL; PATTERN RECOGNITION, VISUAL; PSYCHOPHYSICS; VISUAL ACUITY;

EID: 58849127721     PISSN: None     EISSN: 15347362     Source Type: Journal    
DOI: 10.1167/9.1.26     Document Type: Article

References (48)

1. Akaike, H. (1974). A new look at the statistical model identification. IEEE Transactions on Automatic Control, 19, 716-723.
2. Alt, F. L. (1962). Digital pattern recognition by moments. Journal of Association Computing Machinery, 9, 240-258.
3. Blommaert, F. J. (1988). Early-visual factors in letter confusions. Spatial Vision, 3, 199-224.
4. Bondarko, V. M., & Danilova, M. V. (1997). What spatial frequency do we use to detect the orientation of a Landolt C? Vision Research, 37, 2153-2156.
5. Bouma, H. (1971). Viusal recognition of isolated lowercase letters. Vision Research, 11, 459-474.
6. Campbell, F. W., & Gubisch, R. W. (1966). Optical quality of the human eye. The Journal of Physiology, 186, 558-578.
7. Chung, S. T., Legge, G. E., & Tjan, B. S. (2002). Spatial-frequency characteristics of letter identification in central and peripheral vision. Vision Research, 42, 2137-2152.
8. Eriksen, C. W., & Schultz, D. W. (1978). Temporal factors in visual information processing. In J. Requin (Ed.), Attention and performance (vol. VII). New York: Academic Press.
9. Ferris, F. L., 3rd, Kassoff, A., Bresnick, G. H., & Bailey, I. (1982). New visual acuity charts for clinical research. American Journal of Ophthalmology, 94, 91-96.
10. Geisler, W. (1984). Physical limits of acuity and hyperacuity. Journal of the Optical Society of America A, Optics and Image Science, 1, 775-782.
11. Gervais, M. J., Harvey, L. O., Jr., & Roberts, J. O. (1984). Identification confusions among letters of the alphabet. Journal Experimental Psychology: Human Perception and Performance, 10, 655-666.
12. Getty, D. J., Swets, J. A., Swets, J. B., & Green, D. M. (1979). On the prediction of confusion matrices from similarity judgments. Perception & Psychophysics, 26, 1-19.
13. Geyer, L. H., & DeWald, C. G. (1973). Feature lists and confusion matrices. Perception & Psychophysics, 14, 471-482.
14. Ghorbel, F., Derrode, S., Dhahbi, S., & Mezhoud, R. (2005). Reconstructing with geometric moments. Paper presented at the International Conference on Machine Intelligence (ACIDCA-ICMI'05), Tozeur, Tunisia.
15. Gibson, E. J. (1969). Principles of perceptual learning and development. New York: Appleton-Century-Crofts.
16. Ginsburg, A. P. (1977). Visual information processing based on spatial filters constrained by biological data. Unpublished Ph.D., University of Cambridge, Cambridge, England.
17. Gold, J., Bennett, P. J., & Sekuler, A. B. (1999). Identification of band-pass filtered letters and faces by human and ideal observers. Vision Research, 39, 3537-3560.
18. Hu, M. K. (1962). Visual pattern recognition by moment invariant. IRE Transactions on Information Theory, IT-8, 179-187.
19. International Organization for Standardization (ISO) (1986). Visual acuity testing: Standard optotype and its presentation (No. ISO 8596). International Organization for Standardization.
20. Keren, G., & Baggen, S. (1981). Recognition models of alphanumeric characters. Perception & Psychophysics, 29, 234-246.
21. Laughery, K. R. (1969). Computer simulation of short-term memory: A component decay model. In G. T. Bower & J. T. Spence (Eds.), The psychology of learning and motivation: Advances in research and theory (vol. VI). New York: Academic Press.
22. LeBlanc, R. S., & Muise, J. G. (1985). Alphabetic confusion: A clarification. Perception & Psychophysics, 37, 588-591.
23. Legge, G. E., Hooven, T. A., Klitz, T. S., Stephen Mansfield, J. S., & Tjan, B. S. (2002). Mr. Chips 2002: New insights from an ideal-observer model of reading. Vision Research, 42, 2219-2234.
24. Legge, G. E., Pelli, D. G., Rubin, G. S., & Schleske, M. M. (1985). Psychophysics of reading - I. Normal vision. Vision Research, 25, 239-252.
25. Loomis, J. M. (1990). A model of character recognition and legibility. Journal Experimental Psychology: Human Perception and Performance, 16, 106-120.
26. Luce, D. R. (1963a). Detection and recognition. In D. R. Luce, R. R. Bush, & E. Galanter (Eds.), Handbook of mathematical psychology (vol. I, pp. 103-188). New York: John Wiley and Sons.
27. Luce, D. R. (1963b). Psychophysical scaling. In D. R. Luce, R. R. Bush, & E. Galanter (Eds.), Handbook of mathematical psychology (vol. I, pp. 245-307). New York: John Wiley and Sons.
28. Lupker, S. J. (1979). On the nature of perceptual information during letter perception. Perception & Psychophysics, 25, 303-312.
29. Majaj, N. J., Pelli, D. G., Kurshan, P., & Palomares, M. (2002). The role of spatial frequency channels in letter identification. Vision Research, 42, 1165-1184.
30. Mannos, J. L., & Sakrison, D. J. (1974). The effects of a visual fidelity criterion on the encoding of images. IEEE Transactions on Information Theory, 20, 525-535.
31. Mukundan, R., & Ramakrishnan, K. R. (1998). Moment functions in image analysis: Theory and applications. Singapore: World Scientific.
32. National Academy of Science National Research Council (NAS-NRC) (1980). Recommended standard procedures for the clinical measurement and specification of visual acuity. Report of working group 39. Committee on vision. Advances in Ophthalmology, 41, 103-148.
33. Neisser, U. (1967). Cognitive psychology. New York: Meredith.
34. Parish, D. H., & Sperling, G. (1991). Object spatial frequencies, retinal spatial frequencies, noise, and the efficiency of letter discrimination. Vision Research, 31, 1399-1415.
35. Pelli, D. G., Burns, C. W., Farell, B., & Moore-Page, D. C. (2006). Feature detection and letter identification. Vision Research, 46, 4646-4674.
36. Poulton, E. C. (1962). Peripheral vision, refractoriness and eye movements in fast oral reading. British Journal of Psychology, 53, 409-419.
37. Rayner, K., & McConkie, G. W. (1976). What guides a reader's eye movements? Vision Research, 16, 829-837.
38. Sanocki, T. (1991). Effects of early common features on form perception. Perception & Psychophysics, 50, 490-497.
39. Schwarz, G. (1978). Estimating the dimension of a model. Annals of Statistics, 6, 461-464.
40. Shepard, R. N. (1987). Toward a universal law of generalization for psychological science. Science, 237, 1317-1323.
41. Solomon, J. A., & Pelli, D. G. (1994). The visual filter mediating letter identification. Nature, 369, 395-397.
42. Teague, M. (1980). Image analysis via the general theory of moments. Journal of the Optical Society of America A, Optics, Image Science, and Vision, 70, 920-930.
43. Tjan, B. S., Braje, W. L., Legge, G. E., & Kersten, D. (1995). Human efficiency for recognizing 3-D objects in luminance noise. Vision Research, 35, 3053-3069.
44. Tjan, B. S., & Legge, G. E. (1998). The viewpoint complexity of an object-recognition task. Vision Research, 38, 2335-2350.
45. Townsend, J. T. (1971). Theoretical analysis of an alphabetic confusion matrix. Perception & Psychophysics, 9, 40-50.
46. Townsend, J. T., Hu, G. G., & Kadlec, H. (1988). Feature sensitivity, bias, and interdependencies as a function of energy and payoffs. Perception & Psychophysics, 43, 575-591.
47. Watson, A. B., & Ahumada, A. J., Jr. (2008). Predicting visual acuity from wavefront aberrations. Journal of Vision, 8(4):17, 1-19, http://journalofvision.org/8/4/17/, doi:10.1167/8.4.17.
48. Zhang, J. Y., Zhang, T., Xue, F., Liu, L., & Yu, C. (2007). Legibility variations of Chinese characters and implications for visual acuity measurement in Chinese reading population. Investigative Ophthalmology & Visual Science, 48, 2383-2390.