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

Datensatz

DATENSATZ AKTIONENEXPORT

Freigegeben

Vortrag

Facial Animation Based on 3D Scans and Motion Capture

MPG-Autoren
http://pubman.mpdl.mpg.de/cone/persons/resource/persons83829

Breidt,  M
Department Human Perception, Cognition and Action, Max Planck Institute for Biological Cybernetics, Max Planck Society;

http://pubman.mpdl.mpg.de/cone/persons/resource/persons84298

Wallraven,  C
Department Human Perception, Cognition and Action, Max Planck Institute for Biological Cybernetics, Max Planck Society;

http://pubman.mpdl.mpg.de/cone/persons/resource/persons83870

Cunningham,  DW
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;

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

Breidt, M., Wallraven, C., Cunningham, D., & Bülthoff, H. (2003). Facial Animation Based on 3D Scans and Motion Capture. Talk presented at Conference on Computer Graphics and Interactive Techniques (ACM SIGGRAPH 2003). San Diego, CA, USA.


Zitierlink: http://hdl.handle.net/11858/00-001M-0000-0013-DC35-C
Zusammenfassung
One of the applications of realistic facial animation outside the film industry is psychophysical research in order to understand the perception of human facial motion. For this, an animation model close to physical reality is important. Through the combination of high-resolution 3D scans and 3D motion capture, we aim for such a model and provide a prototypical example in this sketch. State-of-the art 3D scanning systems deliver very high spatial resolution but usually are too slow for real-time recording. Motion capture (mocap) systems on the other hand have fairly high temporal resolution for a small set of tracking points. The idea presented here is to combine these two in order to get high resolution data in both domains that is closely based upon real-world properties. While this is similar to previous work, for example [Choe et al. 2001] or [Pighin et al. 2002], the innovation of our approach lies in the combination of precision 3D geometry, high resolution motion tracking and photo-realistic textures.