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» Face Recognition Based on 2D and 3D Features
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82
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FGR
2008
IEEE
234views Biometrics» more  FGR 2008»
15 years 4 months ago
Expression invariant 3D face recognition with a Morphable Model
We describe an expression-invariant method for face recognition by fitting an identity/expression separated 3D Morphable Model to shape data. The expression model greatly improve...
Brian Amberg, Reinhard Knothe, Thomas Vetter
SCALESPACE
2009
Springer
15 years 4 months ago
A Multi-scale Feature Based Optic Flow Method for 3D Cardiac Motion Estimation
Abstract. The dynamic behavior of the cardiac muscle is strongly dependent on heart diseases. Optic flow techniques are essential tools to assess and quantify the contraction of t...
Alessandro Becciu, Hans C. van Assen, Luc Florack,...
AIPR
2001
IEEE
15 years 1 months ago
Model-Based Face Tracking for Dense Motion Field Estimation
When estimating the dense motion field of a video sequence, if little is known or assumed about the content, a limited constraint approach such as optical flow must be used. Since...
Timothy F. Gee, Russell M. Mersereau
93
Voted
ICIP
2007
IEEE
15 years 4 months ago
Face Recognition using a Fast Model Synthesis from a Profile and a Frontal View
In our previous work we presented a new 2D-3D mixed face recognition scheme called Partial Principal Component Analysis (P2 CA) [1]. The main contribution of P2 CA is that it uses...
Antonio Rama, Francesc Tarres
CEC
2010
IEEE
14 years 10 months ago
Non-rigid 3D face shape reconstruction using a genetic algorithm
This paper proposes a method for reconstructing non-rigid 3D shapes from noisy 2D shapes. The proposed method estimates the 3D shape bases and projection matrices, exploiting low-r...
Jong-Min Park, Hyun-Chul Choi, Se-Young Oh