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  Recognising novel deforming objects

Chuang, L., Vuong, Q., Thornton, I., & Bülthoff, H. (2006). Recognising novel deforming objects. Visual Cognition, 14(1), 85-88.

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 Creators:
Chuang, L1, 2, Author              
Vuong, QC1, 2, Author              
Thornton, IM1, 2, Author              
Bülthoff, HH1, 2, Author              
Affiliations:
1Department Human Perception, Cognition and Action, Max Planck Institute for Biological Cybernetics, Max Planck Society, ou_1497797              
2Max Planck Institute for Biological Cybernetics, Max Planck Society, Spemannstrasse 38, 72076 Tübingen, DE, ou_1497794              

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 Abstract: 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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 Dates: 2006-05
 Publication Status: Published in print
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 Rev. Type: -
 Identifiers: DOI: 10.1080/13506280600627756
BibTex Citekey: 3770
 Degree: -

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Title: 13th Annual Meeting Object Perception, Attention, and Memory (OPAM 2005)
Place of Event: Toronto, ON, Canada
Start-/End Date: 2005-11-10

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Title: Visual Cognition
  Other : Vis. Cogn.
Source Genre: Journal
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Publ. Info: Hove, East Sussex, UK : Lawrence Erlbaum
Pages: - Volume / Issue: 14 (1) Sequence Number: - Start / End Page: 85 - 88 Identifier: ISSN: 1350-6285
CoNE: https://pure.mpg.de/cone/journals/resource/954925276535