Recognition of objects displayed with incomplete sets of discrete boundary dots

Perceptual and Motor Skills

Volumn 104, Issue 3 II, 2007, Pages 1043-1059

  Greene, Ernest ^a  

^a UNIVERSITY OF SOUTHERN CALIFORNIA   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ARTICLE; ASSOCIATION; CONSCIOUSNESS; DEPTH PERCEPTION; HUMAN; MEMORY; METHODOLOGY; PATTERN RECOGNITION; PERCEPTION; PSYCHOLOGICAL MODEL; VISION;

CONSCIOUSNESS; CUES; FORM PERCEPTION; HUMANS; MEMORY; MODELS, PSYCHOLOGICAL; PATTERN RECOGNITION, VISUAL; PERCEPTUAL CLOSURE; RESEARCH DESIGN; SIZE PERCEPTION; SPACE PERCEPTION;

EID: 34547962688     PISSN: 00315125     EISSN: None     Source Type: Journal    
DOI: 10.2466/PMS.104.4.1043-1059     Document Type: Article

References (19)

1. ATTNEAVE, F. Some informational aspects of visual form perception. American Journal of Psychology, 1954, 61, 183-193.
2. BUFFART, H., LEEUWENBERG, F., & RUSTLE, F. Coding theory in visual pattern completion. Journal of Experimental Psychology: Human Perception & Performance, 1981, 7, 241-274.
3. BULTHOFF, H. H., & EDELMAN, S. Psychophysical support for a two-dimensional view interpolation theory of object recognition. Proceedings of the National Academy of Sciences, 1992, 89, 60-64.
4. BURBECK, C. A., & PIZER, S. M. Object representation by cores: identifying and representing primitive spatial regions. Vision Research, 1995, 35, 1917-1930.
5. GREENE, E., & WAKSMAN, P. Grid analysis - continuing the search for a metric of shape. Journal of Mathematical Psychology, 1987, 31, 338-365.
6. HINTON, G. E. A parallel computation that assigns canonical object-based frames of reference. In Proceedings of the Seventh International Joint Conference on Artificial Intelligence. Los Altos, CA: International Joint Conferences on Artificial Intelligence, 1981. Pp. 683-685.
7. HOFFMAN, D. D., & RICHARDS, W A. Parts of recognition. Cognition, 1984, 18, 65-96. [Special issue: visual cognition]
8. HUBFL, D. H., & WIESEL, T. N. Receptive fields of single neurons in the cat's striate cortex. Journal of Physiology, 1959, 148, 574-591.
9. HUBEL, D. H., & WIESEL, T. N. Receptive fields, binocular interactions and functional architecture in the cat's visual cortex. Journal of Physiology, 1962, 160, 106-154.
10. MARR, D. Vision: a computational investigation into the human representation and processing of information. New York: Freeman, 1982. Pp. 51-79.
11. MARR, D., & NISHIHARA, H. K. Visual information processing: artificial intelligence and the sensorium of sight. Technology Review, 1978, 81, 28-49.
12. PALMER, S. E. Vision science: photons to phenomenology. Cambridge, MA: MIT Press, 1999.
13. PATTERSON, H. D., & THOMPSON, R. Recovery of inter-block information when block sizes are unequal. Biometrika, 1971, 58, 545-554.
14. QUINLAN, P. T. Differing approaches to two-dimensional shape recognition. Psychological Bulletin, 1991, 109, 224-241.
15. SCENIAK, M. P., HAWKEN, M. J., & SHAPLEY, R. Visual spatial characterization of macaque Vl neurons. Journal of Neurophysiology, 2001, 85, 1873-1887.
16. SELFRIDGE, O. G. Pattern recognition and learning. In C. Cherry (Ed.), Information theory. New York: Academic Press, 1957. Pp. 345-353.
17. SUTHERLAND, N. S. Outlines of a theory of visual pattern recognition in animals and man. Proceedings of the Royal Society, London B, 1968, 171, 95-103.
18. ULLMAN, S. Aligning pictorial descriptions: an approach to object recognition. Cognition, 1989, 32, 193-254.
19. WFRTHEIMER, M. Über Gestalttheorie [an address before the Kant Society, Berlin, December, 17, 1924, Erlangen], In W. D. Ellis (Transi.), A source hook of Gestalt psychology. London: Routledge & Kegan Paul, 1938, P. 16.