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Recognizing novel deforming objects

MPS-Authors
/persons/resource/persons83861

Chuang,  L
Department Human Perception, Cognition and Action, Max Planck Institute for Biological Cybernetics, Max Planck Society;
Max Planck Institute for Biological Cybernetics, Max Planck Society;

/persons/resource/persons84291

Vuong,  QC
Department Human Perception, Cognition and Action, Max Planck Institute for Biological Cybernetics, Max Planck Society;
Max Planck Institute for Biological Cybernetics, Max Planck Society;

/persons/resource/persons83839

Bülthoff,  HH
Department Human Perception, Cognition and Action, Max Planck Institute for Biological Cybernetics, Max Planck Society;
Max Planck Institute for Biological Cybernetics, Max Planck Society;

External Resource

https://dl.acm.org/citation.cfm?id=1080438
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Citation

Chuang, L., Vuong, Q., Thornton, I., & Bülthoff, H. (2005). Recognizing novel deforming objects. Poster presented at 2nd Symposium on Applied Perception in Graphics and Visualization (APGV 2005), A Coroña, Spain.


Cite as: https://hdl.handle.net/11858/00-001M-0000-0013-D4C5-E
Abstract
Human visual recognition can be improved with object motion (e.g., faces, Lander and Chuang, 2005; rigid objects, Vuong and Tarr, 2004) This improvement suggests that it is not merely shape information that characterizes an object. Rather, human observers may also represent how shape changes over time for recognition.