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» Robust 3D Face Recognition by Using Shape Filtering
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VIS
2003
IEEE
247views Visualization» more  VIS 2003»
14 years 9 months ago
Shape Simplification Based on the Medial Axis Transform
We present a new algorithm for simplifying the shape of 3D objects by manipulating their medial axis transform (MAT). From an unorganized set of boundary points, our algorithm com...
Roger C. Tam, Wolfgang Heidrich
PAMI
2012
11 years 10 months ago
Trainable Convolution Filters and Their Application to Face Recognition
—In this paper, we present a novel image classification system that is built around a core of trainable filter ensembles that we call Volterra kernel classifiers. Our system trea...
Ritwik Kumar, Arunava Banerjee, Baba C. Vemuri, Ha...
ICIP
2006
IEEE
14 years 9 months ago
Kalman Filtering for Pose-Invariant Face Recognition
We propose a novel algorithm for the identification of faces from image samples. The algorithm uses the Kalman filter to identify significant facial traits. Kalmanfaces are compac...
Horst Eidenberger
ICCS
2007
Springer
14 years 2 months ago
Dynamic Tracking of Facial Expressions Using Adaptive, Overlapping Subspaces
We present a Dynamic Data Driven Application System (DDDAS) to track 2D shapes across large pose variations by learning non-linear shape manifold as overlapping, piecewise linear s...
Dimitris N. Metaxas, Atul Kanaujia, Zhiguo Li
MMSP
2008
IEEE
216views Multimedia» more  MMSP 2008»
14 years 2 months ago
Using stochastic gradient-descent scheme in appearance model based face tracking
— Active appearance model (AAM) has been widely used in face tracking and recognition. However, accuracy and efficiency are always two main challenges with the AAM search. The pa...
Zhidong Li, Jing Chen, Adrian Chong, Zhenghua Yu, ...