Outline: Recognition




Pattern Recognition - Categorization vs discriminability, naming, identifying individuals, recognition memory

Invariance of recognition across
Multiple exemplars
Differences in viewpoint, occlusions, lighting, cast shadows, etc.

Category specificity
Faces
Prosopagnosia (face blindness)
Face inversion effects (e.g., the Thatcher illusion)
Face cells in IT
Columnar organization in IT for face viewpoint and for other objects
Fusiform face area
Faces versus expertise (train on greebles and they act like faces: show inversion effect, light up FFA)
Objects
Object agnosia
Parahippocampal place area

Nature of the recognition computation
Reading: first and last letters matter most
Objects: viewpoint dependent (store individual views) versus viewpoint independent (store object-intrinsic description, e.g., Geons)

Perceptual organization
Segmentation (parts, objects, figure-ground) versus grouping
Gestalt laws
Proximity
Similarity
Good continuation
Prägnanz: good/simple form
Common fate
Closure
Camouflage
Boundary formation
Texture edges (e.g. Julesz)
Relation to visual search (e.g. Treisman)
Parallel (easy) search (O among X's): search times independent of number of distractors
Serial (hard) search (T among L's): search times increase with number of distractors, twice as much for "no" as for "yes" answers
Illusory or subjective contours
What they are
Where are they represented in the brain (probably not in V1, but soon after)

Figure/Ground problem
Ambiguous Figures (vase/faces as figure/ground ambiguity)

Scene interpretation
Local interpretations (failure on Escher figures)