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Perceptual Organization & Scene A nalysis

Perceptual Organization & Scene A nalysis. NRS 495 – Neuroscience Seminar Christopher DiMattina , PhD. How do we parse the visual scene?. Novel combinations of objects. Perceptual organization and Gestalt grouping. The problem of grouping.

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Perceptual Organization & Scene A nalysis

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  1. Perceptual Organization & Scene Analysis NRS 495 – Neuroscience Seminar Christopher DiMattina, PhD

  2. How do we parse the visual scene? NRS 495 - Grinnell College - Fall 2012

  3. Novel combinations of objects NRS 495 - Grinnell College - Fall 2012

  4. Perceptual organization and Gestalt grouping NRS 495 - Grinnell College - Fall 2012

  5. The problem of grouping • The visual system goes from pixel intensities to objects and appropriate groupings of objects NRS 495 - Grinnell College - Fall 2012

  6. Schools of early psychology • Structuralists believed that perceptions were built up of atoms of sensation • Gestalt school argued that the perceptual whole is greater than the sum of its parts (gestalt = ‘form’) • Gestalt psychologists proposed rules for how the visual system groups features into perceptual wholes PSY 295 - Grinnell College - Fall 2012

  7. Good continuation • Similarly oriented lines are seen as part of the same contour • Reflects the structure of the natural sensory environment PSY 295 - Grinnell College - Fall 2012

  8. Similarity • Different image regions have different statistical properties • Group together regions with similar properties PSY 295 - Grinnell College - Fall 2012

  9. Proximity • Nearby object tend to be grouped together • Note horizontal rather than vertical grouping PSY 295 - Grinnell College - Fall 2012

  10. Gestalt grouping principles NRS 495 - Grinnell College - Fall 2012

  11. Degrees of grouping NRS 495 - Grinnell College - Fall 2012

  12. Tradeoff between color and proximity NRS 495 - Grinnell College - Fall 2012

  13. Synchrony NRS 495 - Grinnell College - Fall 2012

  14. Common region NRS 495 - Grinnell College - Fall 2012

  15. Connectedness NRS 495 - Grinnell College - Fall 2012

  16. Over-ruling proximity PSY 295 - Grinnell College - Fall 2012

  17. Quantitative measurements of grouping NRS 495 - Grinnell College - Fall 2012

  18. Repetition discrimination task • Are repeated items squares or circles? NRS 495 - Grinnell College - Fall 2012

  19. Effects of size in common region NRS 495 - Grinnell College - Fall 2012

  20. Organization in three dimensions NRS 495 - Grinnell College - Fall 2012

  21. Grouping and lightness constancy NRS 495 - Grinnell College - Fall 2012

  22. Grouping and visual completion NRS 495 - Grinnell College - Fall 2012

  23. Uniform connectedness NRS 495 - Grinnell College - Fall 2012

  24. Effects of experience NRS 495 - Grinnell College - Fall 2012

  25. Effects of experience NRS 495 - Grinnell College - Fall 2012

  26. Camouflage • The goal of camouflage is to prevent accurate feature grouping so that you cannot perceive animal PSY 295 - Grinnell College - Fall 2012

  27. Web Activity • http://sites.sinauer.com/wolfe3e/chap4/gestaltF.htm NRS 495 - Grinnell College - Fall 2012

  28. Region and texture segmentation NRS 495 - Grinnell College - Fall 2012

  29. Need to partition into regions NRS 495 - Grinnell College - Fall 2012

  30. Finding edges • One way to detect objects is to find their edges • However, not all edges correspond to object boundaries • Output of computer vision edge-detector PSY 295 - Grinnell College - Fall 2012

  31. Edge detection does not always find region boundaries NRS 495 - Grinnell College - Fall 2012

  32. Region-based approaches • Work in machine vision groups pixels by similarity in gestalt cues like luminance, color, texture, etc… • Segments image using graph-theoretic methods • Works better than edge detection methods NRS 495 - Grinnell College - Fall 2012

  33. Parsing • Sharp concave discontinuities provide an important cue for parsing objects into parts NRS 495 - Grinnell College - Fall 2012

  34. Texture segregation NRS 495 - Grinnell College - Fall 2012

  35. Texture segregation NRS 495 - Grinnell College - Fall 2012

  36. Physically different textures don’t separate NRS 495 - Grinnell College - Fall 2012

  37. Identical second and third order statistics but they separate NRS 495 - Grinnell College - Fall 2012

  38. Malik and Perona model NRS 495 - Grinnell College - Fall 2012

  39. Filters in the Model NRS 495 - Grinnell College - Fall 2012

  40. Filter outputs NRS 495 - Grinnell College - Fall 2012

  41. Texture boundaries NRS 495 - Grinnell College - Fall 2012

  42. Model and experiment NRS 495 - Grinnell College - Fall 2012

  43. Figure and ground organization NRS 495 - Grinnell College - Fall 2012

  44. Ambiguous figure/ground organization NRS 495 - Grinnell College - Fall 2012

  45. Faces or vase? NRS 495 - Grinnell College - Fall 2012

  46. Border ownership cells in V2 PSY 295 - Grinnell College - Fall 2012

  47. Meaningfullness NRS 495 - Grinnell College - Fall 2012

  48. Visual completion NRS 495 - Grinnell College - Fall 2012

  49. Both familiar and unfamiliar completion NRS 495 - Grinnell College - Fall 2012

  50. Relatability • Kellman and Shipley outlines rules for when two occluded segments are joined NRS 495 - Grinnell College - Fall 2012

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