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Joint Motion and Reflectance Capture for Creating Relightable 3D Videos

MPG-Autoren
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/persons43978

Ahmed,  Naveed
Computer Graphics, MPI for Informatics, Max Planck Society;

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/persons45805

Ziegler,  Gernot
Computer Graphics, MPI for Informatics, Max Planck Society;

http://pubman.mpdl.mpg.de/cone/persons/resource/persons44911

Lensch,  Hendrik
Computer Graphics, 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;

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Volltexte (frei zugänglich)

MPI-I-2005-4-004.pdf
(beliebiger Volltext), 4MB

Ergänzendes Material (frei zugänglich)
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Zitation

Theobalt, C., Ahmed, N., de Aguiar, E., Ziegler, G., Lensch, H., Magnor, M., et al.(2005). Joint Motion and Reflectance Capture for Creating Relightable 3D Videos (MPI-I-2005-4-004).


Zitierlink: http://hdl.handle.net/11858/00-001M-0000-000F-2879-B
Zusammenfassung
\begin{abstract} Passive optical motion capture is able to provide authentically animated, photo-realistically and view-dependently textured models of real people. To import real-world characters into virtual environments, however, also surface reflectance properties must be known. We describe a video-based modeling approach that captures human motion as well as reflectance characteristics from a handful of synchronized video recordings. The presented method is able to recover spatially varying reflectance properties of clothes % dynamic objects ? by exploiting the time-varying orientation of each surface point with respect to camera and light direction. The resulting model description enables us to match animated subject appearance to different lighting conditions, as well as to interchange surface attributes among different people, e.g. for virtual dressing. Our contribution allows populating virtual worlds with correctly relit, real-world people.\\ \end{abstract}