1. Visual Perception: It Is All In Your Mind Mona Moshtaghi Neuroscience Texture Shape Size Disparity Motion Processing Constraint

2. http://homepage.psy.utexas.edu/homepage/class/Psy308/Salinas/Vision/Vision.html

3. Beginnings of Human Perception Perception of a real object is based on “sensory data representing the physical properties of the object such as its weight, reflectance, rigidity, stiffness and texture.” Plato –“Platonic Solids” Aristotle –“There is nothing in the mind that was not first in the senses.” David Marr –Vision http://ucelinks.cdlib.org:8888/sfx_local?sid=Entrez:PubMed&id=pmid:19800910

4. James J. Gibson Psychologist in the field of visual perception Introduced texture gradient ____________________________________________ Visual texture  cue to the 3D structure of surfaces Texture studied as 3D cue (computational and computer vision) http://www.journalofvision.org/content/6/9/3.long

5. Decompositions of Texture Gradients Into Different Components

6. David Marr

7. Three Levels of Understanding Complex Information-Processing Devices Computational Approach Most abstract level Describes the problem the system is trying to solve & the constraints it uses in order to solve it Representation and Algorithmic Addresses the questions of representations Hardware Implementation Involves the details of the hardware in which the algorithm is embodied http://www.cs.huji.ac.il/~yweiss/intro/node2.html

8. Marr’s “2.5D Sketch” Opaque cube 7 of the 8 vertices 9 of the 12 edges More than half of the 3D shape can be seen when represented by contours or vertices http://ucelinks.cdlib.org:8888/sfx_local?sid=Entrez:PubMed&id=pmid:19800910

9. Computational Geometry Vertices: 0-dimensional cells Edges: 1-dimensional cells Regions or Faces: 2-dimensional cells http://graphics.stanford.edu/courses/cs268-09-winter/ http://illusion.scene360.com/3d/5105/computational-geometry/

10. A, B: In the Ponzo illusion, the two converging lines provided the depth impression that the two physically identical objects were located at different distances from the observer, and the distant object looks larger than the object that appears closer in space. C: In the Ebbinghaus illusion, the object surrounded by small items looks larger than a physically identical object surrounded by big items. http://www.ncbi.nlm.nih.gov/pmc/articles/PMC3062603/figure/F1/

11. Art & Perspective

12. Cayetano Ferrer http://illusion.scene360.com/art/13257/invisible-mail-packages-street-sign-and-billboard/

13. Mary Temple Latex paint on walls Illusion of light coming from a window into a room

14. Research continues…

15. How does the brain accomplish diverse functions of scene understanding?

16. http://homepage.psy.utexas.edu/homepage/class/Psy308/Salinas/Vision/Vision.html Where  Where What 

17. Disentangling scene content from spatial boundary: complementary roles for the parahippocampal place area and lateral occipital complex in representing real-world scenes. Analysis of the visual scene account for the objects and the spatial layout of surfaces in a scene Parahippocampal place area (PPA)  same spatial boundaries Lateral occipital complex (LOC)  same content http://www.ncbi.nlm.nih.gov/pubmed/21273418

18. New approach to the perception of 3D shape based on veridicality, complexity, symmetry and volume. 3D shape is unique in perception –Complexity  identification of objects 3D shape perception is veridical (car, chair, etc) http://www.ncbi.nlm.nih.gov/pubmed/19800910

19. Thank You Hide & Seek That Beer…