LECTURE SIX Flashcards
HIERARCHICAL OBJECTS
- Hierarchical structure
- Objects can be made of objects
- My car is an object, but so are the wheels, and so are the bolts on the hubcaps
- Global superiority effect
- Largest grouping (global) preferred over smaller groupings (local) – to a point
OBJECT
- Stable grouping of visual information
- Figure as opposed to ground
- One level of hierarchical structure
- Region of interest, depending on task
GESTALT GROUPING
- Gestalt grouping principles
- Heuristics for grouping perceptual information into
larger objects - System for organizing a messy world into discrete
groups of objects
SUBJECTIVE EDGES
Subjective edge – edge that exists for an observer, but not actually an edge
- Exists when Gestalt principles imply it should exist
* Continuation – straight edges continue while occluded
* Closure – Edges are assumed to be “closed” and solid
FIGURE AND GROUND
Major part of grouping is determining figure and
ground
* Figure – object of interest
* More enclosed by other, smaller
* Greater familiarity
* Ground – background, not an object
ACCIDENTAL VIEWPOINT
At a given angle, things may look different
SHADING
- Objects with a three-dimensional structure shade
themselves - If light is coming from one source – or at least one
direction – this shading will be predictable and uniform - Biased to assume light is coming from above
- Note this bias is involved with many other illusions
OBJECT RECOGNITION
Determining what constitutes an object is a good
start
* Once an object is defined, how do we recognize
what it is?
* Object constancy and viewpoint
- Two possibilities for object representation:
* Distributed – recognition by components
* Local – recognition by views
RECOGNITION BY COMPONENTS
- Segment an object into geometrical components AKA geons
- Sometimes called “geon theory”
- Determine position and relation between parts
- Match information with mental representation
GEONS
- Geons are viewpoint invariant
- Relation between geons holds true for all viewpoints, as long as geons are visible
- Helps resolve problem of object invariance
- Can be modeled computationally
- Faster object naming times when geons can be
identified properly
RECOGNITION BY VIEWS
- Different views of same object are stored in LTM
- Exemplars
- Objects are then matched with exemplars
- Best match is the object
CANONICAL OBJECT VIEWS
- Most “obvious” viewpoint
- Reflected in reaction time when naming picture
- What you would likely draw
- Mental image
- Recognition by Views
- Canonical viewpoints are easily matched (you’ve seen
the object in that view the most) - Stronger (or more) exemplar(s)
- Recognition by Components
- Canonical viewpoints have easily identifiable geons and clearly show relation between them
RBC and RBV - ARE THEY MUTUALLY EXCLUSIVE
- Some things might be better recognized using RBC
- Basic level objects (“a dog”)
- Entry-level categories (first word that comes to mind)
- Some things might be better recognized using RBV
- Specific instances of category (“my dog, Flapjack”)
- RBC can’t really recognize specific members
- Discriminating between two faces – geons are the same
OBJECT AGNOSIA
Difficulty or inability to engage in object recognition
* Two forms - Apperceptive Agnosia & Associative Agnosia
APPERCEPTIVE AGNOSIA
- Cannot identify objects based on vision
- Problem with scale (only pays attention to fragments)