A debate on whether object representations capture isolated viewpoints or ranges of views has dominated research in object recognition in recent years, but now seems to be waning. Rather than assume a narrow model in which either structural or view information is used to recognize an object, researchers have begun to examine how these properties might be used cooperatively. A recent paper by Foster and Gilson confirms sensitivity to both types of information, which combine in an additive framework to predict recognition performance.
|Number of pages||3|
|Journal||Trends in Cognitive Sciences|
|Early online date||3 Sept 2003|
|Publication status||Published - Oct 2003|