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» Using Component Features for Face Recognition
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PAMI
2008
156views more  PAMI 2008»
15 years 2 months ago
Tied Factor Analysis for Face Recognition across Large Pose Differences
Face recognition algorithms perform very unreliably when the pose of the probe face is different from the gallery face: typical feature vectors vary more with pose than with identi...
Simon J. D. Prince, James H. Elder, Jonathan Warre...
ICPR
2010
IEEE
15 years 2 months ago
Decision Fusion for Patch-Based Face Recognition
—Patch-based face recognition is a recent method which uses the idea of analyzing face images locally, in order to reduce the effects of illumination changes and partial occlusio...
Berkay Topcu, Hakan Erdogan
91
Voted
ICIP
2009
IEEE
16 years 3 months ago
Facial Marks: Soft Biometric For Face Recognition
We propose to utilize micro features, namely facial marks (e.g., freckles, moles, and scars) to improve face recognition and retrieval performance. Facial marks can be used in thr...
ICB
2009
Springer
134views Biometrics» more  ICB 2009»
15 years 9 months ago
A Model Based Approach for Expressions Invariant Face Recognition
This paper describes an idea of recognizing the human face in the presence of strong facial expressions using model based approach. The features extracted for the face image sequen...
Zahid Riaz, Christoph Mayer, Matthias Wimmer, Mich...
141
Voted
ICIAR
2010
Springer
15 years 1 months ago
Face Recognition from Color Images Using Sparse Projection Analysis
The paper presents a novel feature extraction technique for face recognition which uses sparse projection axes to compute a lowdimensional representation of face images. The propos...
Vitomir Struc, Nikola Pavesic