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» Joint Boosting Feature Selection for Robust Face Recognition
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ICB
2007
Springer
308views Biometrics» more  ICB 2007»
13 years 12 months ago
Learning Multi-scale Block Local Binary Patterns for Face Recognition
Abstract. In this paper, we propose a novel representation, called Multiscale Block Local Binary Pattern (MB-LBP), and apply it to face recognition. The Local Binary Pattern (LBP) ...
ShengCai Liao, XiangXin Zhu, Zhen Lei, Lun Zhang, ...
PAA
2006
13 years 5 months ago
A review on Gabor wavelets for face recognition
Due to the robustness of Gabor features against local distortions caused by variance of illumination, expression and pose, they have been successfully applied for face recognition....
LinLin Shen, Li Bai
ICMCS
2006
IEEE
160views Multimedia» more  ICMCS 2006»
13 years 11 months ago
Selecting Kernel Eigenfaces for Face Recognition with One Training Sample Per Subject
It is well-known that supervised learning techniques such as linear discriminant analysis (LDA) often suffer from the so called small sample size problem when apply to solve face ...
Jie Wang, Konstantinos N. Plataniotis, Anastasios ...
ICPR
2008
IEEE
14 years 6 days ago
Robust indoor activity recognition via boosting
In this paper, a novel statistical indoor activity recognition algorithm is introduced. While conditional random fields (CRFs) have prominent properties to this task, no optimal ...
Masamichi Shimosaka, Taketoshi Mori, Tomomasa Sato
IBPRIA
2009
Springer
13 years 10 months ago
Local Boosted Features for Pedestrian Detection
The present paper addresses pedestrian detection using local boosted features that are learned from a small set of training images. Our contribution is to use two boosting steps. T...
Michael Villamizar, Alberto Sanfeliu, Juan Andrade...