A limited memory algorithm for bound constrained optimization
SIAM Journal on Scientific Computing
Proceedings of the 27th annual conference on Computer graphics and interactive techniques
Virtual View Generation for 3D Digital Video
IEEE MultiMedia
3D Scanning in Apparel Design and Human Engineering
IEEE Computer Graphics and Applications
Virtual People: Capturing Human Models to Populate Virtual Worlds
CA '99 Proceedings of the Computer Animation
3D human body model acquisition from multiple views
ICCV '95 Proceedings of the Fifth International Conference on Computer Vision
Free-viewpoint video of human actors
ACM SIGGRAPH 2003 Papers
M^3: Marker-Free Model Reconstruction and Motion Tracking from 3D Voxel Data
PG '04 Proceedings of the Computer Graphics and Applications, 12th Pacific Conference
Presenting identity in a virtual world through avatar appearances
Proceedings of Graphics Interface 2009
The Musical Avatar: a visualization of musical preferences by means of audio content description
Proceedings of the 5th Audio Mostly Conference: A Conference on Interaction with Sound
Globally optimal spatio-temporal reconstruction from cluttered videos
ACCV'09 Proceedings of the 9th Asian conference on Computer Vision - Volume Part III
Dense and accurate spatio-temporal multi-view stereovision
ACCV'09 Proceedings of the 9th Asian conference on Computer Vision - Volume Part II
KinÊtre: animating the world with the human body
Proceedings of the 25th annual ACM symposium on User interface software and technology
Information Processing and Management: an International Journal
Personalized animatable avatars from depth data
JVRC '13 Proceedings of the 5th Joint Virtual Reality Conference
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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 shape-adapting a template human body model. Its surface texture is assembled from multi-view video frames showing arbitrary different body poses. consistent surface texture for the model is generated using multi-view video frames from different camera views and different body poses. With our proposed method photo-realistic human avatars can be robustly generated.