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» Robust 3D pose estimation from multiple video cameras
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AMDO
2008
Springer
14 years 11 months ago
Accurate Human Motion Capture Using an Ergonomics-Based Anthropometric Human Model
Abstract. In this paper we present our work on markerless model-based 3D human motion capture using multiple cameras. We use an industry proven anthropometric human model that was ...
Jan Bandouch, Florian Engstler, Michael Beetz
125
Voted
CVIU
2011
14 years 1 months ago
Markerless reconstruction and synthesis of dynamic facial expressions
In this paper we combine methods from the field of computer vision with surface editing techniques to generate animated faces, which are all in full correspondence to each other....
Dominik Sibbing, Martin Habbecke, Leif Kobbelt
ICCV
2009
IEEE
16 years 2 months ago
Keyframe-Based Real-Time Camera Tracking
We present a novel keyframe selection and recognition method for robust markerless real-time camera tracking. Our system contains an ofine module to select features from a grou...
Zilong Dong, Guofeng Zhang, Jiaya Jia, Hujun Bao
CVPR
2010
IEEE
15 years 20 days ago
Real-time Tracking of Multiple Occluding Objects using Level Sets
We derive a probabilistic framework for robust, realtime, visual tracking of multiple previously unseen objects from a moving camera. This framework models the discrete depth orde...
Charles Bibby, Ian Reid
83
Voted
ICIP
2007
IEEE
15 years 11 months ago
Mirror-Based Multi-View Analysis of Facial Motions
We present our system for the capturing and analysis of 3D facial motion. A high speed camera is used as capture unit in combination with two surface mirrors. The mirrors provide ...
Jürgen Rurainsky, Peter Eisert