Abstract
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.
| Original language | English |
|---|---|
| Pages (from-to) | 425-427 |
| Number of pages | 3 |
| Journal | Trends in Cognitive Sciences |
| Volume | 7 |
| Issue number | 10 |
| Early online date | 3 Sept 2003 |
| DOIs |
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| Publication status | Published - Oct 2003 |
| Externally published | Yes |
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