01
Front
What is object recognition?
Back
Object recognition identifies an object despite changes in size, position, lighting, visibility, or viewpoint by combining visual evidence with stored knowledge.
Free Online Flashcard Deck
3 Theories of Object Recognition Free Online FlashCards
Study 3 Theories of Object Recognition with 12 free online flashcards. Review key terms, definitions, and concepts with this interactive flashcard deck.
12 cards
02
Front
How does template matching explain recognition?
Back
It compares incoming visual information with a stored pattern; recognition occurs when the image matches the template sufficiently.
03
Front
Why is one rigid template limited for object recognition?
Back
A single rigid template poorly handles changes in viewpoint, size, lighting, or shape; the system would need many versions or a way to transform the input.
04
Front
What is the central idea of feature-based recognition?
Back
Recognition depends on detecting diagnostic elements and combining them into a pattern, such as identifying a letter from its lines, curves, and intersections.
05
Front
What do structural-description theories represent?
Back
They represent objects through their parts and the spatial relations among them. Marr and Nishihara proposed three-dimensional, object-centered descriptions using volumetric components organized around object axes.
06
Front
What are geons in recognition-by-components theory?
Back
Biederman's recognition-by-components theory proposes that visual cues help recover simple volumetric components called geons, such as cylinders, cones, and blocks.
07
Front
Why do relations among parts matter in recognition-by-components?
Back
The same components arranged differently can specify different objects, so recognition-by-components depends on how parts are organized as well as which parts are present.
08
Front
When is recognition-by-components especially useful?
Back
It can explain recognition from incomplete images or unfamiliar views when enough component structure remains visible.
09
Front
What are key limitations of recognition-by-components theory?
Back
It is less effective when recognition depends on fine detail, texture, or viewpoint-specific features.
10
Front
How do view-based models explain object recognition?
Back
They propose that memory stores object appearances from experienced viewpoints; a new image is matched to a stored view or recognized by interpolating between familiar views.
11
Front
What viewpoint effect do view-based models predict?
Back
Recognition can be faster or more accurate from familiar angles and less efficient from unusual ones.
12
Front
What is a prototype account of category knowledge?
Back
A prototype is an average or especially representative example of a category; it can help people recognize a typical member they have never seen before.
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