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» 3D Human Motion Tracking using Manifold Learning
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GECCO
2009
Springer
204views Optimization» more  GECCO 2009»
14 years 8 days ago
Combined structure and motion extraction from visual data using evolutionary active learning
We present a novel stereo vision modeling framework that generates approximate, yet physically-plausible representations of objects rather than creating accurate models that are c...
Krishnanand N. Kaipa, Josh C. Bongard, Andrew N. M...
ICCV
1999
IEEE
14 years 9 months ago
A Dynamic Bayesian Network Approach to Figure Tracking using Learned Dynamic Models
The human figure exhibits complex and rich dynamic behavior that is both nonlinear and time-varying. However, most work on tracking and synthesizing figure motion has employed eit...
Vladimir Pavlovic, James M. Rehg, Tat-Jen Cham, Ke...
ICMCS
2008
IEEE
169views Multimedia» more  ICMCS 2008»
14 years 2 months ago
Constructing panoramic views through facial gaze tracking
This paper describes a human machine interaction application for building panoramic views easily and efficiently. The panoramas are not limited to the 1D problem (one axis of rot...
Fadi Dornaika, Bogdan Raducanu
IBPRIA
2005
Springer
14 years 1 months ago
Performance Driven Facial Animation by Appearance Based Tracking
We present a method that estimates high level animation parameters (muscle contractions, eye movements, eye lids opening, jaw motion and lips contractions) from a marker-less face ...
José Miguel Buenaposada, Enrique Muñ...
EMMCVPR
2011
Springer
12 years 7 months ago
Data-Driven Importance Distributions for Articulated Tracking
Abstract. We present two data-driven importance distributions for particle filterbased articulated tracking; one based on background subtraction, another on depth information. In ...
Søren Hauberg, Kim Steenstrup Pedersen