Learning illumination- and orientation-invariant representations of objects through temporal association

Journal of Vision

Volumn 9, Issue 7, 2009, Pages

  Wallis, Guy ^a,c   Backus, Benjamin T ^b   Langer, Michael ^c,e   Huebner, Gesche ^a,d   Bülthoff, Heinrich ^c  

^a UNIVERSITY OF QUEENSLAND   (Australia)

^b STATE UNIVERSITY OF NEW YORK   (United States)

^c MAX PLANCK INSTITUTE FOR BIOLOGICAL CYBERNETICS   (Germany)

^d JUSTUS LIEBIG UNIVERSITY   (Germany)

^e MCGILL UNIVERSITY   (Canada)

Author keywords

Face recognition; Learning; Object recognition; Visual cognition

Indexed keywords

ARTICLE; FACE; HUMAN; ILLUMINATION; LEARNING; ORIENTATION; PATTERN RECOGNITION; TIME;

FACE; HUMANS; LEARNING; LIGHTING; ORIENTATION; PATTERN RECOGNITION, VISUAL; TIME FACTORS;

EID: 67650296181     PISSN: None     EISSN: 15347362     Source Type: Journal    
DOI: 10.1167/9.7.6     Document Type: Article

References (31)

1. Biederman, I. (1987). Recognition-by-components: A theory of human image understanding. Psychological Review, 94, 115-147.
2. Bülthoff, H. H., & Edelman, S. (1992). Psychophysical support for a two-dimensional view interpolation theory of object recognition. Proceedings of the National Academy of Sciences of the United States of America, 89, 60-64.
3. Cox, D., Meier, P., Oertelt, N., & DiCarlo, J. (2005). Breaking position invariant object recognition. Nature Neuroscience, 8, 1145-1147.
4. Födiák, P. (1991). Learning invariance from transformation sequences. Neural Computation, 3, 194-200.
5. Harman, K., & Humphrey, G. (1999). Encoding 'regular' and 'random' sequences of views of novel three-dimensional objects. Perception, 28, 601-615.
6. Hershberger, W. (1970). Attached-shadow orientation perceived as depth by chickens reared in an environment illuminated from below. Journal of Comparative and Physiological Psychology, 73, 407-411.
7. Hill, H., & Johnston, A. (2001). Categorizing sex and identity from the biological motion of faces. Current Biology, 11, 880-885.
8. Kleffner, D., & Ramachandran, V. (1992). On the perception of shape from shading. Perception and Psychophysics, 52, 18-36.
9. Koenderink, J. J., & van Doom, A. J. (1979). The internal representation of solid-shape with respect to vision. Biological Cybernetics, 32, 211-216.
10. Lawson, R., Humphreys, G., & Watson, D. (1994). Object recognition under sequential viewing conditions: Evidence for view-point specific recognition procedures. Perception, 23, 595-614.
11. Lim, T. (2007). Learning sequence of views of three-dimensional objects: The effect of temporal coherence on object memory. Perception, 36, 1320-1333.
12. Marr, D., & Hildreth, E. (1980). Theory of edge detection. Proceedings of the Royal Society of London B: Biological Science, 207, 187-217.
13. Miyashita, Y. (1993). Inferior temporal cortex: Where visual perception meets memory. Annual Review of Neuroscience, 16, 245-263.
14. Moses, Y., Ullman, S., & Edelman, S. (1996). Generalization to novel images in upright and inverted faces. Perception, 25, 443-462.
15. Pitts, W., & McCulloch, W. (1947). How we know universals: The perception of auditory and visual forms. Bulletin of Mathematical Biophysics, 9, 127-147.
16. Preminger, S., Sagi, D., & Tsodyks, M. (2007). The effects of perceptual history on memory of visual objects. Vision Research, 36, 965-973.
17. Stone, J. (1998). Object recognition using spatio-temporal signatures. Vision Research, 38, 947-951.
18. Tarr, M., & Bülthoff, H. H. (1995). Is human object recognition better described by geon-structural descriptions or by multiple-views? Journal of Experimental Psychology: Human Perception and Performance, 21, 1494-1505.
19. Tarr, M., Georghiades, A., & Jackson, C. (2008). Identifying faces across variations in lighting: Psychophysics and computation. ACM Transactions in Applied Perception.
20. Torralba, A., Murphy, K. P., & Freeman, W. T. (2007). Sharing visual features for multiclass and multiview object detection. IEEE Transactions on Pattern Analysis and Machine Intelligence, 29, 854-869.
21. Troje, N., & Bülthoff, H. (1996). Face recognition under varying poses: The role of texture and shape. Vision Research, 36, 1761-1771.
22. Ullman, S. (2006). Object recognition and segmentation by a fragment-based hierarchy. Trends in Cognitive Sciences, 11, 58--64.
23. Vetter, T. (1998). Synthesis of novel views from a single face image. International Journal of Computer Vision, 28, 103-116.
24. Vuong, Q., & Tarr, M. (2004). Rotation direction affects object recognition. Vision Research, 44, 1717-1730.
25. Wallis, G. (1998). Spatio-temporal influences at the neural level of object recognition. Network: Computation in Neural Systems, 9, 265-278.
26. Wallis, G. (2002). The role of object motion in forging long-term representations of objects. Visual Cognition, 9, 233-247.
27. Wallis, G., & Bülthoff, H. (1999). Learning to recognize objects. Trends in Cognitive Sciences, 3, 22-31.
28. Wallis, G., & Bülthoff, H. H. (2001). Effects of temporal association on recognition memory. Proceedings of the National Academy of Sciences of the United States of America, 98, 48001-4804.
29. Wallis, G., & Rolls, E. (1997). A model of invariant object recognition in the visual system. Progress in Neurobiology, 51, 167-194.
30. Wang, G., Obama, S., Yamashita, W., Sugihara, T., & Tanaka, K. (2005). Prior experience of rotation is recognizing objects seen from different angles. Nature Neuroscience, 8, 1768-1775.
31. Yin, R. (1969). Looking at upside down faces. Journal of Experimental Psychology, 81, 141-145.