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Recognizing novel deforming objects

MPG-Autoren
http://pubman.mpdl.mpg.de/cone/persons/resource/persons83861

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

http://pubman.mpdl.mpg.de/cone/persons/resource/persons84291

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

http://pubman.mpdl.mpg.de/cone/persons/resource/persons84258

Thornton,  IM
Department Human Perception, Cognition and Action, Max Planck Institute for Biological Cybernetics, Max Planck Society;

http://pubman.mpdl.mpg.de/cone/persons/resource/persons83839

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

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Zitation

Chuang, L., Vuong, Q., Thornton, I., & Bülthoff, H. (2005). Recognizing novel deforming objects. In 2nd Symposium on Applied Perception in Graphics and Visualization (APGV 2005) (pp. 158-158). New York, NY, USA: ACM Press.


Zitierlink: http://hdl.handle.net/11858/00-001M-0000-0013-D4C5-E
Zusammenfassung
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.