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» Epipolar Curve Tracking in 3-D
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JMM2
2006
219views more  JMM2 2006»
13 years 6 months ago
Fully Automatic Real-Time 3D Object Tracking using Active Contour and Appearance Models
This paper presents an efficient, robust and fully automatic real-time system for 3D object pose tracking in image sequences. The developed application integrates two main componen...
Giorgio Panin, Alois Knoll
PREMI
2005
Springer
13 years 11 months ago
3D Facial Pose Tracking in Uncalibrated Videos
Abstract. This paper presents a method to recover the 3D configuration of a face in each frame of a video. The 3D configuration consists of the three translational parameters and...
Gaurav Aggarwal, Ashok Veeraraghavan, Rama Chellap...
ISVC
2007
Springer
14 years 4 days 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
ICPR
2008
IEEE
14 years 7 months ago
Spatio-temporal 3D pose estimation and tracking of human body parts using the Shape Flow algorithm
In this contribution we introduce the Shape Flow algorithm (SF), a novel method for spatio-temporal 3D pose estimation of a 3D parametric curve. The SF is integrated into a tracki...
Markus Hahn, Lars Krüger, Christian Wöhl...
ICIP
2003
IEEE
14 years 7 months ago
Extension of epipolar image analysis to circular camera movements
Epipolar image analysis is a robust method for 3D scene depth reconstruction that uses all available views of an image sequence simultaneously. It is restricted to horizontal, lin...
Ingo Feldmann, Peter Kauff, Peter Eisert