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» Robust Statistics for 3D Object Tracking
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ICASSP
2007
IEEE
14 years 3 days ago
Statistical Analysis of the Global Geodesic Function for 3D Object Classification
This paper presents a novel classification strategy for 3D objects. Our technique is based on using a Global Geodesic Function to intrinsically describe the surface ofan object. T...
Djamila Aouada, Shuo Feng, Hamid Krim
FGR
2000
IEEE
230views Biometrics» more  FGR 2000»
13 years 10 months ago
A Robust Model-Based Approach for 3D Head Tracking in Video Sequences
We present a generic and robust method for model-based global 3D head pose estimation in monocular and non-calibrated video sequences. The proposed method relies on a 3D/2D matchi...
Marius Malciu, Françoise J. Prêteux
ICRA
2007
IEEE
225views Robotics» more  ICRA 2007»
14 years 3 days ago
Accurate Quadrifocal Tracking for Robust 3D Visual Odometry
— This paper describes a new image-based approach to tracking the 6dof trajectory of a stereo camera pair using a corresponding reference image pairs instead of explicit 3D featu...
Andrew I. Comport, Ezio Malis, Patrick Rives
HUMO
2007
Springer
13 years 9 months ago
Articulated Object Registration Using Simulated Physical Force/Moment for 3D Human Motion Tracking
In this paper, we present a 3D registration algorithm based on simulated physical force/moment for articulated human motion tracking. Provided with sparsely reconstructed 3D human ...
Bingbing Ni, Stefan Winkler, Ashraf A. Kassim
ISVC
2007
Springer
13 years 12 months ago
Real-Time 3D Face Tracking with Mutual Information and Active Contours
Abstract. We present a markerless real-time, model-based 3D face tracking methodology. The system combines two robust and complimentary optimization-based strategies, namely active...
Giorgio Panin, Alois Knoll