Learning Task-Specific Object Recognition and Scene Understanding

2000 ◽  
Vol 80 (3) ◽  
pp. 315-348 ◽  
Author(s):  
Tom Drummond ◽  
Terry Caelli
Perception ◽  
1994 ◽  
Vol 23 (5) ◽  
pp. 595-613 ◽  
Author(s):  
Rebecca Lawson ◽  
Glyn W Humphreys ◽  
Derrick G Watson

In many computational approaches to vision it has been emphasised that object recognition involves the encoding of view-independent descriptions prior to matching to a stored object model, thus enabling objects to be identified across different retinal projections. In contrast, neurophysiological studies suggest that image descriptions are matched to less abstract, view-specific representations, resulting in more efficient access to stored object knowledge for objects presented from a view similar to a stored viewpoint. Evidence favouring a primary role for view-specific object descriptions in object recognition is reported. In a series of experiments employing line drawings of familiar objects, the effects of depth rotation upon the efficiency of object recognition were investigated. Subjects were required to identify an object from a sequence of very briefly presented pictures. The results suggested that object recognition is based upon the matching of image descriptions to view-specific stored representations, and that priming effects under sequential viewing conditions are strongly influenced by the visual similarity of different views of objects.


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