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FGR
2006
IEEE
255views Biometrics» more  FGR 2006»
13 years 11 months ago
Incremental Kernel SVD for Face Recognition with Image Sets
Non-linear subspaces derived using kernel methods have been found to be superior compared to linear subspaces in modeling or classification tasks of several visual phenomena. Such...
Tat-Jun Chin, Konrad Schindler, David Suter
BMVC
2000
13 years 9 months ago
Robust Facial Feature Tracking
We present a robust technique for tracking a set of pre-determined points on a human face. To achieve robustness, the Kanade-Lucas-Tomasi point tracker is extended and specialised...
Fabrice Bourel, Claude C. Chibelushi, Adrian A. Lo...
MICAI
2000
Springer
13 years 11 months ago
Detection and Tracking of Facial Features in Video Sequences
This work presents a real time system for detection and tracking of facial features in video sequences. Such system may be used in visual communication applications, such as teleco...
Rogério Schmidt Feris, Teófilo Em&ia...
ICASSP
2007
IEEE
14 years 2 months ago
Particle PHD Filtering for Multi-Target Visual Tracking
We propose a multi-target tracking algorithm based on the Probability Hypothesis Density (PHD) filter and data association using graph matching. The PHD filter is used to compen...
Emilio Maggio, Elisa Piccardo, Carlo S. Regazzoni,...
ICCV
2009
IEEE
1052views Computer Vision» more  ICCV 2009»
15 years 11 days ago
A direct approach for efficiently tracking with 3D Morphable Models
We present an efficient algorithm for fitting a morphable model to an image sequence. It is built on a projective geometry formulation of perspective projection, which results in a...
Enrique Muñoz, José M. Buenaposada, Luis Baumela