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» Discriminant Embedding for Local Image Descriptors
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ICCV
2007
IEEE
14 years 11 months ago
Proximity Distribution Kernels for Geometric Context in Category Recognition
We propose using the proximity distribution of vectorquantized local feature descriptors for object and category recognition. To this end, we introduce a novel "proximity dis...
Haibin Ling, Stefano Soatto
ICPR
2004
IEEE
14 years 10 months ago
Face Recognition Based on the Appearance of Local Regions
Recently, we proposed a novel facial representation for face recognition based on Local Binary Pattern (LBP) features. We obtained excellent results when dividing the face images ...
Abdenour Hadid, Matti Pietikäinen, Timo Ahone...
ACCV
2010
Springer
13 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
CVPR
2007
IEEE
14 years 11 months ago
Learning a Spatially Smooth Subspace for Face Recognition
Subspace learning based face recognition methods have attracted considerable interests in recently years, including Principal Component Analysis (PCA), Linear Discriminant Analysi...
Deng Cai, Xiaofei He, Yuxiao Hu, Jiawei Han, Thoma...
CVPR
2009
IEEE
15 years 4 months ago
Picking the best DAISY
Local image descriptors that are highly discriminative, computational efficient, and with low storage footprint have long been a dream goal of computer vision research. In this ...
Gang Hua, Matthew Brown, Simon A. J. Winder