de.mpg.escidoc.pubman.appbase.FacesBean
Deutsch
 
Hilfe Wegweiser Impressum Kontakt Einloggen
  DetailsucheBrowse

Datensatz

DATENSATZ AKTIONENEXPORT

Freigegeben

Poster

Internal and External Facial Features Differentially Bias Person Recognition: An Approach using Animation Techniques

MPG-Autoren
http://pubman.mpdl.mpg.de/cone/persons/resource/persons84141

Pilz,  KS
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;

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;

Externe Ressourcen
Es sind keine Externen Ressourcen verfügbar
Volltexte (frei zugänglich)
Es sind keine frei zugänglichen Volltexte verfügbar
Ergänzendes Material (frei zugänglich)
Es sind keine frei zugänglichen Ergänzenden Materialien verfügbar
Zitation

Pilz, K., Bülthoff, H., & Thornton, I. (2006). Internal and External Facial Features Differentially Bias Person Recognition: An Approach using Animation Techniques. Poster presented at 9th Tübingen Perception Conference (TWK 2006), Tübingen, Germany.


Zitierlink: http://hdl.handle.net/11858/00-001M-0000-0013-D2A5-4
Zusammenfassung
When a person approaches you, there are multiple cues that could help you to identify that person, such as their face, hairstyle, clothes or walking pattern. Currently we are using animated figures to explore the differential impact of these cues on person recognition. Here we mainly concentrate on the face as a cue to identity and especially the influence of external and internal facial features on recognition performance. Internal facial feature refer to the size and outline of the eyes and mouth and their configuration. External facial features rather denote the shape of the face or the hairstyle associated with a particular face. We use 3D graphics and computer animation to explore the impact of such sources of information. Animation techniques allow us to modify some features, while keeping other features constant, e.g. the body or walk pattern. As stimuli we attached faces from the MPI face database to 3D body models from POSER and animated them with a simple walk as if approaching the observer. In a learning phase, observers studied two static targets that only differed in their facial features. Hairstyle and clothing were kept constant. In a later recognition task, these two targets were moving towards the observer, who had to identify them as quickly and accurately as possible. During this recognition task, we varied hairstyle and specific clothing to test which kind of external features impair recognition performance most. Our results show that for close-up recognition observers seem to rely more on internal facial features, whereas they are highly influenced by external factors, i.e. hairstyle, when a person is further away. These findings provide additional evidence that external facial features are important for recognizing unfamiliar faces.