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

Datensatz

DATENSATZ AKTIONENEXPORT

Freigegeben

Konferenzbeitrag

Reconstructing Human Shape and Motion from Multi-View Video

MPG-Autoren
http://pubman.mpdl.mpg.de/cone/persons/resource/persons43977

de Aguiar,  Edilson
Computer Graphics, MPI for Informatics, Max Planck Society;

http://pubman.mpdl.mpg.de/cone/persons/resource/persons45610

Theobalt,  Christian
Computer Graphics, MPI for Informatics, Max Planck Society;
Programming Logics, MPI for Informatics, Max Planck Society;

http://pubman.mpdl.mpg.de/cone/persons/resource/persons44965

Magnor,  Marcus
Graphics - Optics - Vision, MPI for Informatics, Max Planck Society;

http://pubman.mpdl.mpg.de/cone/persons/resource/persons45449

Seidel,  Hans-Peter
Computer Graphics, MPI for Informatics, 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

de Aguiar, E., Theobalt, C., Magnor, M., & Seidel, H.-P. (2005). Reconstructing Human Shape and Motion from Multi-View Video. In 2nd European Conference on Visual Media Production (CVMP) (pp. 42-49). London, UK: The IEE.


Zitierlink: http://hdl.handle.net/11858/00-001M-0000-000F-277F-7
Zusammenfassung
In model-based free-viewpoint video, a detailed representation of the time-varying geometry of a real-word scene is used to generate renditions of it from novel viewpoints. In this paper, we present a method for reconstructing such a dynamic geometry model of a human actor from multi-view video. In a two-step procedure, first the spatio-temporally consistent shape and poses of a generic human body model are estimated by means of a silhouette-based analysis-by-synthesis method. In a second step, subtle details in surface geometry that are specific to each particular time step are recovered by enforcing a color-consistency criterion. By this means, we generate a realistic representation of the time-varying geometry of a moving person that also reproduces these dynamic surface variations.