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VRST
2005
ACM

Automatic generation of personalized human avatars from multi-view video

9 years 11 months ago
Automatic generation of personalized human avatars from multi-view video
In multi-user virtual environments real-world people interact via digital avatars. In order to make the step from the real world onto the virtual stage convincing the digital equivalent of the user has to be personalized. It should reflect the shape and proportions, the kinematic properties, as well as the textural appearance of its real-world equivalent. In this paper, we present a novel spatio-temporal approach to create a personalized avatar from multi-view video data of a moving person. The avatar’s geometry is generated by shapeadapting a template human body model. Its surface texture is assembled from multi-view video frames showing arbitrary different body poses. Categories and Subject Descriptors I.3.7 [Computer Graphics]: Three-Dimensional Graphics and Realism—Animation, Virtual Reality; I.4.8 [Image Processing and Computer Vision]: Scene Analysis—Motion, Tracking, Time-varying Imagery Keywords Avatar creation, virtual reality, texturing, shape deformation
Naveed Ahmed, Edilson de Aguiar, Christian Theobal
Added 26 Jun 2010
Updated 26 Jun 2010
Type Conference
Year 2005
Where VRST
Authors Naveed Ahmed, Edilson de Aguiar, Christian Theobalt, Marcus A. Magnor, Hans-Peter Seidel
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