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Learning Compact Face Representation: Packing a Face into an int32
face recognition face search deep learning
2016/1/22
This paper addresses the problem of producing very compact representation of a face image for large-scale face search and analysis tasks. In tradition, the compactness of face rep-resentation is achie...
Learned local Gabor patterns for face representation and recognition
Gabor wavelet Local patterns Histogram Weighting strategy
2013/7/16
In this paper, we propose Learned Local Gabor Patterns (LLGP) for face representation and recognition. The proposed method is based on Gabor feature and the concept of texton, and defines the fe...
Learned Local Gabor Patterns for Face Representation and Recognition
Learned Local Gabor Patterns Face Representation Recognition
2010/12/20
In thispaper,weproposeLearnedLocalGaborPatterns(LLGP)forfacerepresentation
and recognition.TheproposedmethodisbasedonGaborfeatureandtheconceptof
texton,anddefinesthefeaturecliqueswhichappearfrequent...
V-LGBP: Volume Based Local Gabor Binary Patterns for Face Representation and Recognition
V-LGBP Volume Based Local Gabor Binary Patterns Face Representation Recognition
2013/7/17
In this paper, we propose volume based local Gabor binary patterns (V-LGBP) for face representation and recognition. In our method, the Gabor feature set of each gray image is regarded as a three dime...
Local Gabor Binary Pattern Histogram Sequence (LGBPHS): A Novel Non-Statistical Model for Face Representation and Recognition
Local Gabor Binary Pattern Histogram Sequence Novel Non-Statistical Model
2010/12/15
For years, researchers in face recognition area have been representing and recognizing faces based on subspace discriminant analysis or statistical learning.Nevertheless, these approaches are always s...
Local Gabor Binary Pattern Histogram Sequence (LGBPHS): A Novel Non-Statistical Model for Face Representation and Recognition
Local Gabor Binary Pattern Histogram Sequence A Novel Non-Statistical Model Face Representation Recognition
2013/7/23
For years, researchers in face recognition area have been representing and recognizing faces based on subspace discriminant analysis or statistical learning.
Nevertheless, these approaches are alway...