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SIMPLICITY & COMPLETION Walter Gerbino University of Trieste, - PowerPoint PPT Presentation

SIMPLICITY & COMPLETION Walter Gerbino University of Trieste, Italy VBM2006 - Montevideo why completion? perception depends on stimulus information and internal constraints when the stimulus is incomplete, perception reflects


  1. SIMPLICITY & COMPLETION Walter Gerbino University of Trieste, Italy VBM2006 - Montevideo

  2. why completion?  perception depends on stimulus information and internal constraints  when the stimulus is incomplete, perception reflects internal constraints

  3. topics  amodal completion & occlusion  beyond contours  retinal constraints  approximation vs. interpolation

  4. different kinds of completion

  5. virtual unifications

  6. The horseman , 1918 (Bart van der Leck, 1876-1958)

  7. amodal “covered” completions

  8. but Michotte also discussed

  9. les compléments amodaux “à decouvert”

  10. lampshade for crossfusers

  11. in monocular conditions

  12. simplicity and 3D  spheres simpler than disks  spheres: why not in 2-circle patterns?  minimizing interobject distance, shape, and global structure

  13. eggs (Tse, 1999)

  14. a continuum  virtual unifications  amodal uncovered surfaces  amodal covered surfaces

  15. amodal completion as a process

  16. two hypotheses  completed objects are recognized despite partial evidence  completions are generated as parts of a full object model

  17. modeling hypothesis  amodal parts are produced  completion is pre-categorical  completion is constrained (by simplicity, among other things)

  18. contours

  19. line segmentation (Wertheimer, 1921, §27) we perceive /acegi.../bdfhl.../ + not /abefil.../cdghk.../ +

  20. with closed adjacent contours front behind + behind front +

  21. good continuation (Wertheimer, 1921, §29-30) local gc local gc + similarity similarity alone simplicity local gc vs. symmetry similarity?

  22. a definition (Wertheimer, 1921, §29-30) Consider a curve corresponding to a simple mathematical function, large enough to allow observers to recognize the underlying function. Then, add a segment based on a clearly different function and another following the same principle. In general, the latter (not the former) will form a unit with the given curve.

  23. minimizing the length of modal illusory contours

  24. Petter’s rule easier than

  25. Petter’s rule & undulation (modified from Kanizsa, 1984, 1991)

  26. stratification  length minimization explains direction  width dissimilarity explains occurrence

  27. undulation persists (also when width is balanced)

  28. control for contrast polarity

  29. control for orientation

  30. minimal local depth  the grey bar on the right looks undulated, though consistent with Petter’s rule

  31. minimal depth

  32. surfaces (perceived modal area)

  33. less is more

  34. (Kanizsa & Gerbino, 1982)

  35. objects

  36. cylinder on a block

  37. cylinder into a block  obliquity or non-parallelism?

  38. oblique cylinder on a block

  39. 3D penetration  amodal continuation  explained by form regularization

  40. joint undeterminacy

  41. pencil in the block

  42. two possibilities

  43. the undeterminate intersection volume  doubly owned (metaphysical)  totally or partially empty  divided among the two objects  belonging to one object only

  44. past experience?

  45. orientation

  46. surfaces (minimal amodal area)

  47. equivalent solutions at the contour level

  48. equivalent solutions at the contour level

  49. estimating the vertex of an occluded angle (Fantoni, Bertamini, & Gerbino, 2005)

  50. concave vs. convex angles

  51. average localization= 80% 84% concave symmetric 74% convex symmetric 84% concave asymmetric 77% convex asymmetric

  52. retinal constraints

  53. 46 (2006) 3142–3159

  54. probe localization paradigm

  55. retinal gap= 1.6 deg retinal gap= 0.8 deg 79% 61% 88% 59%

  56. the field model (Fantoni & Gerbino, 2003; Gerbino & Fantoni, 2005)

  57. GC field MP field

  58. CHAINED VECTOR SUMS GC max - MP max FREE PARAMETER: GC-MP contrast = GC max + MP max

  59. approximation

  60. interpolation approximation

  61. why a deformation?  rounding due to the minimization of the amodal contour  good continuation is irresistible (Gerbino 1978)  shape approximation and contrast (Fantoni, Gerbino, & Kellman, submitted )

  62. local effect

  63. a byproduct of g.c.

  64. approximation & contrast

  65. approximation distorts visible contours

  66. approximation & surface torsion

  67. with occluder without occluder

  68. ∆ RMS= RMS without - RMS with

  69. conclusions  amodal completion is mediated by internal models  modeling by approximation can distort modal parts

  70. thanks

  71. Completion phenomena are theoretically important because they reveal how the visual system overcomes the local gaps of optic information. Gestalt theorists proposed that amodal completion is driven by a tendency towards simplicity. I will discuss strengths and weaknesses of such an idea and refer to specific cases of 2D and 3D completion, supporting the following specific hypotheses: surface-level processes integrate contour-level processes; retinal constraints play a non trivial role; approximation explains the perceived shape of partially occluded surfaces better than interpolation.

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