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» Learning 3D Appearance Models from Video
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ISVC
2009
Springer
15 years 8 months ago
Weight, Sex, and Facial Expressions: On the Manipulation of Attributes in Generative 3D Face Models
Generative 3D Face Models are expressive models with applications in modelling and editing. They are learned from example faces, and offer a compact representation of the continuou...
Brian Amberg, Pascal Paysan, Thomas Vetter
NIPS
2000
15 years 2 months ago
Learning and Tracking Cyclic Human Motion
We present methods for learning and tracking human motion in video. We estimate a statistical model of typical activities from a large set of 3D periodic human motion data by segm...
Dirk Ormoneit, Hedvig Sidenbladh, Michael J. Black...
WACV
2005
IEEE
15 years 7 months ago
Integrating Range and Texture Information for 3D Face Recognition
The performance of face recognition systems that use two-dimensional images depends on consistent conditions w.r.t. lighting, pose, and facial appearance. We are developing a face...
Xiaoguang Lu, Anil K. Jain
ISM
2008
IEEE
185views Multimedia» more  ISM 2008»
15 years 8 months ago
A Framework for Collaborative Real-Time 3D Teleimmersion in a Geographically Distributed Environment
In this paper, we present a framework for immersive 3D video conferencing and geographically distributed collaboration. Our multi-camera system performs a full-body 3D reconstruct...
Gregorij Kurillo, Ramanarayan Vasudevan, Edgar J. ...
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MICCAI
1999
Springer
15 years 5 months ago
A Robust 3-D Reconstruction System for Human Jaw Modeling
Abstract. This paper presents a model-based vision system for dentistry that will assist in diagnosis, treatment planning and surgical simulation. Dentistry requires the accurate 3...
Sameh M. Yamany, Aly A. Farag, David Tasman, Allan...