Recognising novel deforming objects
In: Visual Cognition, 2006
Online
Konferenz
Zugriff:
Current theories of visual object recognition tend to focus on static properties, particularly shape. Nonetheless, visual perception is a dynamic experience–as a result of active observers or moving objects. Here, we investigate whether dynamic information can influence visual object-learning. Three learning experiments were conducted that required participants to learn and subsequently recognize different non-rigid objects that deformed over time. Consistent with previous studies of rigid depth-rotation, our results indicate that human observers do represent object-motion. Furthermore, our data suggest that dynamic information could compensate for when static cues are less reliable, for example, as a result of viewpoint variation.
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Recognising novel deforming objects
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Autor/in / Beteiligte Person: | Chuang, L. ; Vuong, Q. ; Thornton, I. ; Bülthoff, H. |
Link: | |
Zeitschrift: | Visual Cognition, 2006 |
Veröffentlichung: | 2006 |
Medientyp: | Konferenz |
DOI: | 10.1080/13506280600627756 |
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