Depth cues versus the simplicity principle in 3D shape perception

Topics in Cognitive Science

Volumn 3, Issue 4, 2011, Pages 667-685

  Li, Yunfeng ^a   Pizlo, Zygmunt ^a  

^a PURDUE UNIVERSITY   (United States)

Author keywords

3D shape perception; Contours; Depth cues; Simplicity constraints

Indexed keywords

ADULT; ASSOCIATION; DEPTH PERCEPTION; HUMAN; PATTERN RECOGNITION; PHYSIOLOGY; PSYCHOLOGICAL MODEL;

ADULT; CUES; DEPTH PERCEPTION; FORM PERCEPTION; HUMANS; MODELS, PSYCHOLOGICAL; VISION DISPARITY;

EID: 80053899336     PISSN: 17568757     EISSN: 17568765     Source Type: Journal    
DOI: 10.1111/j.1756-8765.2011.01155.x     Document Type: Article

References (48)

1. Biederman, I., & Gerhardstein, P. C. (1993). Recognizing depth-rotated objects: Evidence and conditions for three-dimensional viewpoint invariance. Journal of Experimental Psychology: Human Perception and Performance, 19, 1162-1182.
2. Black, A., Bülthoff, H. H., & Sheinberg, D. (1993). Shape from texture: Ideal observers and human psychophysics. Vision Research, 33(12), 1723-1737.
3. Bülthoff, H. H., & Edelman, S. (1992). Psychophysical support for a 2-D view interpolation theory of object recognition. Proceedings of the National Academy of Science, 89, 60-64.
4. Chan, M. W., Pizlo, Z., & Chelberg, D. M. (1999). Binocular shape reconstruction: Psychological plausibility of the 8 point algorithm. Computer Vision & Image Understanding, 74, 121-137.
5. Chan, M. W., Stevenson, A. K., Li, Y., & Pizlo, Z. (2006). Binocular shape constancy from novel views: The role of a priori constraints. Perception & Psychophysics, 68, 1124-1139.
6. Chater, N. (1996). Reconciling simplicity and likelihood principles in perceptual organization. Psychological Review, 103, 566-581.
7. DeCarlo, D., Finkelstein, A., Rusinkiewics, S., & Santella, A. (2003). Suggestive contours for conveying shape. ACM Transactions on Graphics (TOG), 22(3), 848-855.
8. Howard, I. P. (2002). Seeing in depth, Vol. 1. Toronto, ON: University of Toronto Press.
9. Huang, T. S., & Lee, C. H. (1989). Motion and structure from orthographic projections. IEEE Transactions on Pattern Analysis & Machine Intelligence, 11, 536-540.
10. Knill, D. C. (1998). Discriminating planar surface slant from texture: human and ideal observers compared. Vision Research, 38(11), 1683-1711.
11. Knill, D. C., & Richards, W. (1996). Perception as Bayesian inference. Cambridge, England: Cambridge University Press.
12. Koenderink, J. J., van Doorn, A. J., Christou, C., & Lappin, J. S. (1996). Shape constancy in pictorial relief. Perception, 25(2), 155-164.
13. Koenderink, J. J., van Doorn, A. J., & Kappers, A. M. L. (1992). Surface perception in pictures. Perception & Psychophysics, 52(2), 487-496.
14. Koenderink, J. J., van Doorn, A. J., & Kappers, A. M. L. (1995). Depth relief. Perception, 24, 115-126.
15. Koenderink, J. J., van Doorn, A. J., Kappers, A. M. L., & Todd, J. T. (2001). Ambiguity and the 'Mental Eye" in pictorial relief. Perception, 30, 431-448.
16. Koffka, K. (1935). Principles of Gestalt psychology. New York: Harcourt, Brace.
17. Landy, M. S., Maloney, L. T., Johnston, E. B., & Young, M. (1995). Measurement and modeling of depth cue combination: In defense of weak fusion. Vision Research, 35, 389-412.
18. Li, Y. (2009a). Perception of parallelepipeds: Perkins' law. Perception, 38, 1767-1781.
19. Li, Y. (2009b). Computational models of 3D shape perception. Dissertation Abstract International, 71(5), 116A. (UMI No. AAT 3403114) Retrieved September 21, 2010, from Dissertations and Theses database.
20. Li, Y., & Pizlo, Z. (2008). Perception of 3D shapes from line drawings [Abstract]. Journal of Vision, 8(6), 452, 452a.
21. Li, Y., Pizlo, Z., & Steinman, M. R. (2009). A computational model that recovers the 3D shape of an object from a single 2D retinal representation. Vision Research, 49, 979-991.
22. Li, Y., Sawada, T., Shi, Y., Kwon, T., & Pizlo, Z. (2010). A Bayesian model of binocular perception of 3D mirror symmetrical polyhedra. Journal of Vision, 11(4), 1-20.
23. Li, M., & Vitanyi, P. (1997). An introduction to Kolmogorov complexity and its applications. New York: Springer.
24. Li, A., & Zaidi, Q. (2000). Perception of 3D shape from texture is based on patterns of oriented energy. Vision Research, 40, 217-242.
25. Li, A., & Zaidi, Q. (2001). Veridicality of three-dimensional shape perception predicted from amplitude spectra of natural textures. Journal of the Optical Society of America A, 18, 2430-2447.
26. Li, A., & Zaidi, Q. (2003). Observer strategies in perception of 3-D shape from isotropic textures: Developable surfaces. Vision Research, 43, 2741-2758.
27. Li, A., & Zaidi, Q. (2004). Three-dimensional shape from non-homogeneous textures: Carved and stretched surfaces. Journal of Vision, 4, 860-878.
28. Liu, B., & Todd, J. T. (2004). Perceptual biases in the interpretation of 3D shape from shading. Vision Research, 44, 2135-2145.
29. Macmillan, N. A., & Creelman, C. D. (2005). Detection theory: A user's guide. Mahwah, NJ: Lawrence.
30. Marr, D. (1982). Vision. New York: W.H. Freeman.
31. Nefs, H. T., Koenderink, J. J., & Kappers, A. M. L. (2005). The influence of illumination direction on the pictorial reliefs of Lambertian surfaces. Perception, 34, 275-287.
32. Norman, J. F., Lappin, J. S., & Zucker, S. W. (1991). The discriminability of smooth stereoscopic surfaces. Perception, 20, 789-807.
33. Norman, J. F., Todd, J. T., Norman, H. F., Clayton, A. M., & McBride, T. R. (2006). Visual discrimination of local surface structure: Slant, tilt, and curvedness. Vision Research, 46, 1057-1069.
34. Norman, J. F., Todd, J. T., & Orban, G. A. (2004). Perception of three-dimensional shape from specular highlights, deformations of shading, and other types of visual information. Psychological Science, 15, 565-570.
35. Pizlo, Z. (2001). Perception viewed as an inverse problem. Vision Research, 41, 3145-3161.
36. Pizlo, Z. (2008). 3D shape: Its unique place in visual perception. Cambridge, MA: MIT Press.
37. Pizlo, Z., Li, Y., & Francis, G. (2005). A new look at binocular stereopsis. Vision Research, 45, 2244-2255.
38. Pizlo, Z., Sawada, T., Li, Y., Kropatsch, G. W., & Steinman, M. R. (2010). New approach to the perception of 3D shape based on veridicality, complexity, symmetry and volume. Vision Research, 50, 1-11.
39. Pizlo, Z., & Stevenson, A. K. (1999). Shape constancy from novel views. Perception & Psychophysics, 61, 1299-1307.
40. Poggio, T., Torre, V., & Koch, C. (1985). Computational vision and regularization theory. Nature, 317, 314-319.
41. Polya, G., & Szego, G. (1951). Isoperimetric inequalities in mathematical physics. Princeton: Princeton University Press.
42. Pomerantz, J. R., & Kubovy, M. (1986). Theoretical approaches to perceptual organization. In K. R. Boff, L. Kaufman, & J. P. Thomas (Eds.), Handbook of perception and human performance, vol. II (pp. 36: 1-46). New York: John Wiley and Sons.
43. Sawada, T. (2010). Visual detection of symmetry of 3D shapes. Journal of Vision, 10(6), 4, 1-22.
44. Tikhonov, A. N., & Arsenin, V. Y. (1977). Solutions of ill-posed problems. New York: John Wiley & Sons.
45. Todd, J. T., Oomes, A. H., Koenderink, J. J., & Kappers, A. M. L. (2004). The perception of doubly curved surfaces from anisotropic textures. Psychological Science, 15(1), 40-46.
46. Todd, J. T., Thaler, L., Dijkstra, T. M. H., Koenderink, J. J., & Kappers, A. M. L. (2007). The effects of viewing angle, camera angle and sign of surface curvature on the perception of 3D shape from texture. Journal of Vision, 7(12), 1-16.
47. Ullman, S. (1979). The interpretation of visual motion. Cambridge, M.A.: MIT Press.
48. Vetter, T., & Poggio, T. (1994). Symmetric 3D objects are an easy case for 2D object recognition. Spatial Vision, 8, 443-453.