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Essay / Research Paper Abstract
This 5 page paper considers the complex subject of how objects are recognised by the human brain. The paper starts with the concept of structural decomposition and recognition by components and then moves onto the ideas of Humphrey and multiple view theories. The bibliography cites 10 sources.
Page Count:
5 pages (~225 words per page)
File: TS14_TEobjectr.rtf
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Unformatted sample text from the term paper:
reviewed a great deal of attention, how is it that when an individual looks at an object they are able to identify what it is, even which different designs, shape
and colours. This is a complex profess and the ideas of the internal systems that make this identification possible has diverse. Marr (1982), looked at the way this may
take place with the use of algorithms that originate form internal mathematical commutations. This theory has been defined as a computational theory of object recognition. The model is a linear
model that has been further popularised by Biederman (1987) who studied this form the psychological perspective. This looks at a structural decomposition, which had, until the work
of Marr and Nishihara (1978), been though of as only applicable to novel or unusual objects, however, this has now been extended. The use of structural decomposition means that
the identification of the object may take place with reference to relatively few generic parts, and the spatial relationships that join these parts (Marr, 1982). By having a store of
these different genetic components for reference the internal process can standardise the recognition of novel objects by these reference points (Marr, 1982). The process is a mathematical comparison which equates
to a comparison of graphs with label different features (Garey and. Johnson, 1979). This facilitates the categorisation of the object which may be geometrically different and distinct but has similar
structures to other objects already known (Garey and. Johnson, 1979). The development of this theory moves to the recognition by components that is proposed by Biederman (1987). With recognition by
components there is a memory of a range of a number of basic shapes referred to as geons,, these number in the region of about thirty (Biederman, 1987). These are
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