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» Learning Representative Local Features for Face Detection
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CVPR
2012
IEEE
13 years 1 days ago
Hierarchical face parsing via deep learning
This paper investigates how to parse (segment) facial components from face images which may be partially occluded. We propose a novel face parser, which recasts segmentation of fa...
Ping Luo, Xiaogang Wang, Xiaoou Tang
AVBPA
2005
Springer
315views Biometrics» more  AVBPA 2005»
15 years 3 months ago
Multi-resolution Histograms of Local Variation Patterns (MHLVP) for Robust Face Recognition
This paper presents a novel approach to face recognition, named Multi-resolution Histograms of Local Variation Patterns (MHLVP), in which face images are represented as the concate...
Wenchao Zhang, Shiguang Shan, Hongming Zhang, Wen ...
ACCV
2010
Springer
14 years 4 months ago
Face Recognition with Decision Tree-Based Local Binary Patterns
Many state-of-the-art face recognition algorithms use image descriptors based on features known as Local Binary Patterns (LBPs). While many variations of LBP exist, so far none of ...
Daniel Maturana, Domingo Mery, Alvaro Soto
IBPRIA
2009
Springer
15 years 2 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...
ICB
2007
Springer
308views Biometrics» more  ICB 2007»
15 years 3 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, ...