3. Object Recognition Flashcards
Why is object recognition difficult (2 reasons)
- objects overlap but form coherent perceptual experience
- retinal image varies but size and shape of object doesn’t
Challenges of object recognition: variability on the retinal image
translation, rotation, size, colour
Challenges of object recognition: Variability of a visual scene
occlusion and presence of other objects
challenges of object recognition: intra-class variation
an object is still identified as such despite it being a different shape, colour, design (features). Eg diff types of chair. Can also be recognised when partially hidden.
Challenges of object recognition: viewpoint variation
can identify objects regardless of what view were seeing them from
2D pattern matching theory: template theories
- template in LTM of all known patterns. Can have multiple templates and compare for greatest overlap
- eg barcodes and fingerprints
Issues with template theory
imperfect matches and not accounting for flexibility of pattern recognition system (need to be identical orientation, size, position etc)
2D pattern matching: prototype theories
- more flexible templates
- process the average of characteristics
- no perfect match
Evidence for prototype theory pattern matching
Franks and Bransford 1971: presented object based on a prototype, Ps were confident they’d seen the prototype before seeing the images that made the average prototype
2D pattern matching: feature theories: what is it and a limitation
- pattern has set of features/attributes
- must know the relationship between the features
- too many objects for this to be the only mechanisms
2D pattern matching: structural descriptions
- a breakdown of the pattern and relationship between it’s features
3D object recognition
comprised of early image processing: objects separated from background. segregated from each other and then matched to object description in memory
Marr and Nishihara 1978: 3D object recognition theory
- the relationship between objects made up of cylinders is it’s structural description
- not possible for all objects, good for biological things
3D object recognition: Biederman’s recognition by components theory
- objects composed of geons (geometrical ions)
- 36 diff volumetric shapes
- concave parts of object can help segment image into separate geons
This theory is viewpoint invariant
Recognition by Components theory (Biedermans geons)
Marr and nishiharas cylinders