Linearity across spatial frequency in object recognition

Vision Research

Volumn 38, Issue 14, 1998, Pages 2109-2118

  Olds, Elizabeth S ^a   Engel, Stephen A ^b  

^a UNIVERSITY OF WATERLOO   (Canada)

^b UNIVERSITY OF CALIFORNIA   (United States)

Author keywords

Animal; Human; Linear; Object; Recognition; Spatial frequency

Indexed keywords

ARTICLE; HUMAN; IMAGE ANALYSIS; LINEAR SYSTEM; PATTERN RECOGNITION; PRIORITY JOURNAL; PROBABILITY; RECOGNITION; SPATIAL FREQUENCY DISCRIMINATION;

FEMALE; FORM PERCEPTION; HUMANS; MALE; MATHEMATICS; MODELS, NEUROLOGICAL; PATTERN RECOGNITION, VISUAL; TIME FACTORS;

EID: 0031845582     PISSN: 00426989     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0042-6989(97)00393-3     Document Type: Article

References (24)

1. Blakemore C., Campbell F.W. On the existence of neurones in the human visual system selectively sensitive to the orientation and size of retinal images. J Physiol. 203:1969;237-260.
2. Brainard D.H. The psychophysics toolbox. Spatial Vision. 10:1997;433-436.
3. Braje W.L., Tjan B.S., Legge G.E. Human efficiency for recognizing and detecting low-pass filtered objects. Vision Res. 35:1995;2955-2966.
4. Busey T.A., Loftus G.R. Sensory and cognitive components of visual information acquisition. Psychol Rev. 101:1994;446-469.
5. Campbell F., Robson J. Application of fourier analysis to the visibility of gratings. J Physiol Lond. 197:1968;551-566.
6. De Valois R.L., De Valois K.K. Spatial vision. Annu Rev Psychol. 31:1980;309-341.
7. De Valois R.L., De Valois K.K. Spatial Vision. 1988;Oxford University Press, New York.
8. Graham N., Nachmias J. Detection of grating patterns containing two spatial frequencies: A comparison of single-channel and multiple-channels models. Vision Res. 11:1971;251-259.
9. Graham N.V.S. Visual Pattern Analyzers. 1989;Oxford University Press, New York.
10. Hughes H.C., Fendrich R., Reuter-Lorenz P.A. Global versus local processing in the absence of low spatial frequencies. J Cogn Neurosci. 2:1990;272-282.
11. Legge G.E., Pelli D.G., Rubin G.S., Schleske M.M. Psychophysics of reading - i. Normal vision. Vision Res. 25:1985;239-252.
12. Loftus G.R., Busey T.A., Senders J.W. Providing a sensory basis for models of visual information acquisition. Percept Psychophys. 54:1993;535-554.
13. Loftus G.R., Ruthruff E. A theory of visual information acquisition and visual memory with special application to intensity-duration trade-offs. J Exp Psychol: Human Percept Perform. 20:1994;33-49.
14. Navon D. Forest before trees: The precedence of global features in visual perception. Cognitive Psychol. 9:1977;353-383.
15. Olzak L.A. Widely separated spatial frequencies: Mechanism interactions. Vision Res. 26:1986;1143-1153.
16. Olzak LA, Thomas JP. Seeing spatial patterns. In: Boff KR, Kaufman L, Thomas JP, editors. Handbook of Perception and Human Performance, Vol 1: Sensory Processes and Perception, New York: Wiley, 1986:7:1-7:56.
17. Parish D.H., Sperling G. Object spatial frequencies, retinal spatial frequencies, noise, and the efficiency of letter discrimination. Vision Res. 31:1991;1399-1415.
18. Sanocki T. Time course of object identification: Evidence for a global-to-local contingency. J Exp Psychol: Hum Percept Perform. 19:1993;878-898.
19. Schyns P.G., Oliva A. From blobs to boundary edges: Evidence for time- and spatial-scale-dependent scene recognition. Psychol Sci. 5:1994;195-200.
20. Solomon J.A., Pelli D.G. The visual filter mediating letter identification. Nature. 369:1994;395-397.
21. Thomas J., Olzak L. Cue summation in spatial discrimination. Vision Res. 30:1990;1865-1875.
22. Watson A.B. Probability summation over time. Vision Res. 19:1979;515-522.
23. Watson A.B. Summation of grating patches indicates many types of detector at one retinal location. Vision Res. 22:1982;17-25.
24. Wilson H.R., Bergen J.R. A four mechanism model for threshold spatial vision. Vision Res. 19:1979;19-32.