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» Learning 3D Appearance Models from Video
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ISVC
2009
Springer
14 years 3 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
13 years 10 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
14 years 2 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»
14 years 3 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. ...
MICCAI
1999
Springer
14 years 1 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...