Amodal completion: Perceptional system creates a hole from the pieces that it sees.
Various principles affect what we perceive as foreground vs background:
Symmetry: Objects that are symmetrical are often perceived as the foreground.
Convexity: Convex objects (bulging outward) are more likely to be seen as foreground objects than concave (indented) shapes.
Area: Smaller areas are often perceived as background objects.
Orientation: Objects with primary orientations of vertical or horizontal are typically perceived as the foreground.
Meaning - stimuli that are seen as meaningful tend to be seen as the foreground (figure)
The brain's ability to separate objects from their surroundings.
Example: distinguishing a chair from a body or drink.
Dynamic visual scenes where objects are partial or obstructed.
Key Terms:
Foreground: the primary object of focus.
Background: elements that are less prominent behind the foreground.
Segregation: the process of distinguishing different elements in a scene.
Definition: the perceptual system's ability to infer the existence of objects that are partially hidden.
Example: perceiving a vase versus faces in an optical illusion.
Requires mental reconstruction of complete objects.
Illustrative Example: Amodal completion manifested in visual illusions where shapes assist in perceiving familiar objects.
Several principles that guide how we perceive objects in relation to the background:
Figure-Ground: prioritizing certain elements as figures and others as background.
Ambiguous Images: Images that can be perceived in multiple ways, such as the Dalmatian or the horse.
Example: The ambiguous Dalmatian—different perceptions based on focus and individual interpretation.
The need for visual context to interpret ambiguity in images.
Dynamic Scenes: The ability to identify elements using prior knowledge.
Example: Identifying a horse and Native American figures within a winter scene.
Images capture top-down processing influenced by prior experience.
Illusions: Complex tasks in revealing simpler or expected objects from obscured scenes.
The cow’s head in a seemingly abstract arrangement signifies reliance on recognition after an explanation.
Ambiguity in images demands engagement in figure-ground segregation.
Illustrative Tasks: Identifying various objects based on limited visual cues.
Indicates reliance on top-down processing in interpreting environmental aspects.
Examples highlight how familiarity and context lead to recognition and memory retrieval.
Principles such as symmetry, convexity, and area guide perception:
Objects that are symmetrical tend to attract attention as potential figures.
Bulging (convexity) often leads to perceptions of living objects.
Visual biases: Smaller areas might be favored as figures in ambiguous contexts.
Subjective Contour - a line that your mind sees
Similarity - objects that are similar in some way tend to be grouped together
Proximity ; objects close
Closure - objects that incomplete tend to be completed by the visual system
Pragnaz (simplicity) central gestalt law - given several possible interpretations of stimulus the perceptual system prefers the most simple interpretation.
Problems - describes but doesn’t explain! Thus it is difficult to predict ahead of time what people will see.
Algorithm: A specific, structured approach that guarantees a solution (e.g., mathematical formulas).
Heuristic: A method of problem-solving that provides a shortcut and may not guarantee a solution but is generally efficient (e.g., rules of thumb).
Importance of understanding algorithms in programming, especially in debugging processes.
The sensitivity of visual perception is often rooted in biological and evolutionary history.
Phylogenetic Memory: The idea that certain perceptions, such as fear responses to spiders or snakes, are innate and evolutionary.
Ontogeny: Individual development, distinct from species evolution.
Discussion on how context impacts perception.
The Necker cube and subjective contours: How the brain perceives lines and edges that may not be explicitly present in sensory input.
Highlighting the role of top-down processing in shaping our perception based on prior knowledge.