The time course of configural change detection for novel 3-D objects

Attention, Perception, and Psychophysics

Volumn 72, Issue 4, 2010, Pages 999-1012

  Favelle, Simone ^a   Palmisano, Stephen ^a  

^a UNIVERSITY OF WOLLONGONG   (Australia)

Author keywords

[No Author keywords available]

Indexed keywords

ARTICLE; DEPTH PERCEPTION; HUMAN; PATTERN RECOGNITION; PERCEPTION; PHOTOSTIMULATION; REACTION TIME; RECOGNITION; SHORT TERM MEMORY; TIME;

DEPTH PERCEPTION; FORM PERCEPTION; HUMANS; MEMORY, SHORT-TERM; PATTERN RECOGNITION, VISUAL; PERCEPTUAL MASKING; PHOTIC STIMULATION; REACTION TIME; RECOGNITION (PSYCHOLOGY); TIME FACTORS;

EID: 77955287433     PISSN: 19433921     EISSN: None     Source Type: Journal    
DOI: 10.3758/APP.72.4.999     Document Type: Article

References (33)

1. Aginsky, V., & Tarr, M. J. (2000). How are different properties of a scene encoded in visual memory? Visual Cognition, 7, 147-162.
2. Barenholtz, E., Cohen, E., Feldman, J., & Singh, M. (2003). Detection of change in shape: An advantage for concavities. Cognition, 89, 1-9.
3. Barenholtz, E., & Tarr, M. J. (2006). Reconsidering the role of structure in vision. In B. H. Ross (Series Ed.) & A. B. Markman (Vol. Ed.), Categories in use: The psychology of learning and motivation (Vol. 47, pp. 157-180). San Diego: Academic Press.
4. Biederman, I. (1987). Recognition-by-components: A theory of human vision understanding. Psychological Review, 94, 115-145.
5. Biederman, I., & Gerhardstein, P. C. (1993). Recognizing depthrotated objects: Evidence and conditions for three-dimensional viewpoint invariance. Journal of Experimental Psychology: Human Perception & Performance, 19, 1162-1182.
6. Blum, H. (1973). Biological shape and visual science. I. Journal of Theoretical Biology, 38, 205-287.
7. Edelman, S., & Intrator, N. (2000). (Coarse coding of shape fragments) + (retinotopy) ≈ representation of structure. Spatial Vision, 13, 255-264.
8. Edelman, S., & Intrator, N. (2003). Towards structural systematicity in distributed, statically bound visual representations. Cognitive Science, 27, 73-110.
9. Favelle, S. K., Hayward, W. G., Burke, D., & Palmisano, S. (2006). The configural advantage in object change detection persists across depth rotation. Perception & Psychophysics, 68, 1254-1263.
10. Favelle, S. K., Palmisano, S., Burke, D., & Hayward, W. G. (2006). The role of attention in processing configural and shape information in 3D novel objects. Visual Cognition, 13, 623-642.
11. Hochberg, J. E. (1968). Perception. Englewood Cliffs, NJ: Prentice Hall.
12. Hollingworth, A., & Henderson, J. M. (2002). Accurate visual memory for previously attended objects in natural scenes. Journal of Experimental Psychology: Human Perception & Performance, 28, 113-136.
13. Hummel, J. E., & Biederman, I. (1992). Dynamic binding in a neural network for shape recognition. Psychological Review, 99, 480-517.
14. Keane, S. K., Hayward, W. G., & Burke, D. (2003). Detection of three types of changes to novel objects. Visual Cognition, 10, 101-127.
15. Kimchi, R. (2000). The perceptual organization of visual objects: A micro genetic analysis. Vision Research, 40, 1333-1347.
16. Kimchi, R. (2003). Microgenetic analysis of visual perceptual organization. In R. Kimchi, M. Behrmann, & C. R. Olson (Eds.), Perceptual organization in vision: Behavioral and neurological perspectives. Mahwah, NJ: Erlbaum.
17. Kimchi, R., & Bloch, B. (1998). Dominance of configural properties in visual form perception. Psychonomic Bulletin & Review, 5, 135-139.
18. Kimia, B. B., Tannenbaum, A. R., & Zucker, S. W. (1995). Shapes, shocks, and deformations I: The components of two-dimensional shape and the reaction-diffusion space. International Journal of Computer Vision, 15, 189-224.
19. Marr, D., & Nishihara, H. K. (1978). Representation and recognition of the spatial organization of three-dimensional shapes. Proceedings of the Royal Society B, 200, 269-294.
20. Mel, B. (1997). SEEMORE: Combining color, shape and texture histogramming in a neurally inspired approach to visual object recognition. Neural Computation, 9, 777-804.
21. Pashler, H. (1988). Familiarity and visual change detection. Perception & Psychophysics, 44, 369-378.
22. Phillips, W. A. (1974). On the distinction between sensory storage and short-term visual memory. Perception & Psychophysics, 16, 283-290.
23. Pomerantz, J. R. (1983). Global and local precedence: Selective attention in form and motion perception. Journal of Experimental Psychology: General, 112, 516-540.
24. Rensink, R. A. (2000a). The dynamic representation of scenes. Visual Cognition: Special Issue on Change Detection & Visual Memory, 7, 17-42.
25. Rensink, R. A. (2000b). Visual search for change: A probe into the nature of attentional processing. Visual Cognition, 7, 345-376.
26. Rensink, R. A., O'Regan, J. K., & Clark, J. J. (2000). On the failure to detect changes in scenes across brief interruptions. Visual Cognition, 7, 127-145.
27. Simons, D. J. (1996). In sight, out of mind: When object representations fail. Psychological Science, 7, 301-305.
28. Simons, D. J. (2000). Current approaches to change blindness. Visual Cognition, 7, 1-15.
29. Simons, D. J., & Levin, D. (1997). Change blindness. Trends in Cognitive Sciences, 1, 261-267.
30. Simons, D. J., & Rensink, R. A. (2005). Change blindness: Past, present, and future. Trends in Cognitive Sciences, 9, 16-20.
31. Smilek, D., Eastwood, J. D., & Merikle, P. M. (2000). Does unattended information facilitate change detection? Journal of Experimental Psychology: Human Perception & Performance, 26, 480-487.
32. Ullman, S. (1989). Aligning pictorial descriptions: An approach to object recognition. Cognition, 32, 193-254.
33. Williams, P., & Simons, D. J. (2000). Detecting changes in novel 3D objects: Effects of change magnitude, spatiotemporal continuity, and stimulus familiarity. Visual Cognition, 7, 297-322.