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ICMCS
2005
IEEE
194views Multimedia» more  ICMCS 2005»
14 years 2 months ago
An hardware architecture for 3D object tracking and motion estimation
We present a method to track and estimate the motion of a 3D object with a monocular image sequence. The problem is based on the state equations and is solved by a sequential Mont...
Patrick Lanvin, Jean-Charles Noyer, Mohammed Benje...
JUCS
2010
265views more  JUCS 2010»
13 years 7 months ago
3D Head Pose and Facial Expression Tracking using a Single Camera
: Algorithms for 3D head pose and facial expression tracking using a single camera (monocular image sequences) is presented in this paper. The proposed method is based on a combina...
Lucas D. Terissi, Juan Carlos Gomez
ICRA
2009
IEEE
266views Robotics» more  ICRA 2009»
13 years 6 months ago
CAD-based recognition of 3D objects in monocular images
This paper provides a method for recognizing 3D objects in a single camera image and for determining their 3D poses. A model is trained solely based on the geometry information of ...
Markus Ulrich, Christian Wiedemann, Carsten Steger
ECCV
2000
Springer
14 years 10 months ago
Stochastic Tracking of 3D Human Figures Using 2D Image Motion
A probabilistic method for tracking 3D articulated human figures in monocular image sequences is presented. Within a Bayesian framework, we define a generative model of image appea...
Hedvig Sidenbladh, Michael J. Black, David J. Flee...
CRV
2008
IEEE
295views Robotics» more  CRV 2008»
14 years 3 months ago
3D Human Motion Tracking Using Dynamic Probabilistic Latent Semantic Analysis
We propose a generative statistical approach to human motion modeling and tracking that utilizes probabilistic latent semantic (PLSA) models to describe the mapping of image featu...
Kooksang Moon, Vladimir Pavlovic