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Discriminant Mutual Subspace Learning for Indoor and Outdoor Face Recognition

Zhifeng Li, Dahua Lin, Helen Meng, Xiaoou Tang
2007 2007 IEEE Conference on Computer Vision and Pattern Recognition  
To further improve the recognition performance we develop a DMSL-based multiclassifier fusion framework on Gabor images using a new fusion method called adaptive informative fusion scheme.  ...  Outdoor face recognition is among the most challenging problems for face recognition.  ...  the DMSL-based multiclassifier fusion framework and the unified subspace analysis based multi-classifier fusion framework.  ... 
doi:10.1109/cvpr.2007.383104 dblp:conf/cvpr/LiLMT07 fatcat:itwvbizye5cctnk5so5hi2alca

Wavelet–Based Face Recognition Schemes [chapter]

Sabah A.
2010 Face Recognition  
Each wavelet subband of transformed face images can be used as a face biometric template for a face recognition scheme, and the fusion of a multiple of such schemes associated with different wavelet subbands  ...  will be termed as multi-stream face recognition scheme.  ...  The experiments reported here are based on the performance of the multi-stream face wavelet recognition for databases that involve face images/videos captured under varying recording conditions and by  ... 
doi:10.5772/8952 fatcat:ilqf7lzlr5ehdlq7yrukx5kfji

A Hybrid Method for Face Recognition using LLS CLAHE Method

A. Thamizharasi, Jayasudha J.
2016 International Journal of Computer Applications  
The experimental results prove that LLS CLAHE using Gabor fisher is an effective method for images under varying illuminations.  ...  The proposed work is to develop a hybrid illumination pre-processing method for face recognition by combining two-dimensional Discrete Wavelet Transform (2D DWT) and Contrast Limited Adaptive Histogram  ...  One of the feature based methods, Discrete Wavelet Transform (DWT) is a multi-resolution technique useful in biometrics for edge detection and feature extraction.  ... 
doi:10.5120/ijca2016911898 fatcat:mf6nyl3lunb5pcx443xdn6npta

LBP-based periocular recognition on challenging face datasets

Gayathri Mahalingam, Karl Ricanek
2013 EURASIP Journal on Image and Video Processing  
This work develops a novel face-based matcher composed of a multi-resolution hierarchy of patch-based feature descriptors for periocular recognition -recognition based on the soft tissue surrounding the  ...  The novel patch-based framework for periocular recognition is compared against other feature descriptors and a commercial full-face recognition system against a set of four uniquely challenging face corpora  ...  In this work, we present a multi-scale, centersymmetric, patch-based LBP framework for recognition using four distinctive and challenging datasets.  ... 
doi:10.1186/1687-5281-2013-36 fatcat:yjg7nxcurraxhnv3pltpybtdgy

Face Recognition Based on Discriminative Dictionary with Multilevel Feature Fusion [chapter]

Hongjun Li, Nicola Nobile, Ching Y. Suen
2014 Lecture Notes in Computer Science  
In order to alleviate the influence of illumination, pose, expression and occlusion variations in face recognition, in this paper, an effective face recognition method based on discriminative sparse representation  ...  Experimental results on two widely used face databases are presented to demonstrate the efficiency of the proposed approach.  ...  [4] further extended SRC based framework to a sparsity constrained robust regression problem for handling outliers such as occlusions in facial images.  ... 
doi:10.1007/978-3-319-11656-3_23 fatcat:a4t2sbdi25ggnlth4laxobb534

Local fusion of complex dual-tree wavelet coefficients based face recognition for single sample problem

K. Jaya Priya, R.S. Rajesh
2010 Procedia Computer Science  
In this paper, we propose a novel face recognition method for the one sample problem.  ...  Experiments, on two well-known databases, namely, Yale and ORL databases, shows the Local fusion of DT-CWT approach performs well on illumination, expression and perspective variant faces with a single  ...  Recently wavelets under multiresolution framework have been shown to help combat the detrimental effects of both noise and non-uniform illumination [9] in face recognition and facial feature extraction  ... 
doi:10.1016/j.procs.2010.11.012 fatcat:plrtuctyjnfebascdoxyihs37q

Face recognition by fusing thermal infrared and visible imagery

George Bebis, Aglika Gyaourova, Saurabh Singh, Ioannis Pavlidis
2006 Image and Vision Computing  
In both cases, we employ a simple and general framework based on Genetic Algorithms (GAs) to find an optimum fusion strategy.  ...  Thermal infrared (IR) imagery offers a promising alternative to visible imagery for face recognition due to its relative insensitive to variations in face appearance caused by illumination changes.  ...  Acknowledgements This research was supported in part by NSF under CRCD grant No. 0088086.  ... 
doi:10.1016/j.imavis.2006.01.017 fatcat:n3sgkssiyjevboje5rc6blrbvy

Illumination Normalization via Merging Locally Enhanced Textures for Robust Face Recognition [article]

Chaobing Zheng, Shiqian Wu, Wangming Xu, Shoulie Xie
2019 arXiv   pre-print
In order to improve the accuracy of face recognition under varying illumination conditions, a local texture enhanced illumination normalization method based on fusion of differential filtering images (  ...  compared with other illumination normalization methods and a deep CNNs based illumination invariant face recognition method  ...  Kakadiaris et al. proposed a 3D-2D framework for illumination normalization and face recognition in [8] .  ... 
arXiv:1905.03904v1 fatcat:ozf56t2ugraiha2dg7tysbuaqy

A novel framework for cross-spectral iris matching

Mohammed A. M. Abdullah, Satnam S. Dlay, Wai L. Woo, Jonathon A. Chambers
2016 IPSJ Transactions on Computer Vision and Applications  
Previous work on iris recognition focused on either visible light (VL), near-infrared (NIR) imaging, or their fusion.  ...  To the best of our knowledge, this is the first work that proposes a framework for cross-spectral iris matching using unregistered iris images.  ...  Acknowledgements The first author would like to thank the Ministry of Higher Education and Scientific Research (MoHESR) in Iraq for supporting this work.  ... 
doi:10.1186/s41074-016-0009-9 fatcat:4kmjryovxfcldc2uxozdtsazbi

On the Effects of Illumination Normalization with LBP-Based Watchlist Screening [chapter]

Ibtihel Amara, Eric Granger, Abdenour Hadid
2015 Lecture Notes in Computer Science  
This study focuses on representative retinex, self-quotient, diffusion, filtering, means de-noising, retina, wavelet and frequency-based techniques that are suitable for fast and accurate face screening  ...  Results suggest that a combination of these techniques should be selected dynamically based on changing capture conditions.  ...  This approach has been very successful in LBP-based face recognition under varying illumination conditions.  ... 
doi:10.1007/978-3-319-16181-5_13 fatcat:lnapgsu5ezfxdnf3dzcghgn37m

Fusion of Daubechies Wavelet Coefficients for Human Face Recognition [article]

Mrinal Kanti Bhowmik, Debotosh Bhattacharjee, Mita Nasipuri, Dipak Kumar Basu, Mahantapas Kundu
2010 arXiv   pre-print
Fused images thus found are passed through Principal Component Analysis (PCA) for reduction of dimensions and then those reduced fused images are classified using a multi-layer perceptron.  ...  After decomposition up to fifth level (Level 5) fusion of coefficients is done. Inverse Daubechies wavelet transform of those coefficients gives us fused face images.  ...  In this work, a technique for human face recognition based on fusion in wavelet transformed domain is proposed and discussed subsequently. II.  ... 
arXiv:1007.0621v1 fatcat:hsqvjg2ojfappe3ed6oaniyt7i

ILLUMINATION PROCESSING IN FACE RECOGNITION

ZHENXUE CHEN, CHENGYUN LIU, FALIANG CHANG, XUZHEN HAN, KAIFANG WANG
2014 International journal of pattern recognition and artificial intelligence  
However, face recognition based on multispectral image fusion is relatively unexplored. The image based fusion rule can be divided into two kinds: pixel-based and feature-based fusion.  ...  The modeling of faces under varying illumination can be based on a statistical model or a physical model. For statistical model, no assumption concerning the surface property is needed.  ...  Illumination Processing in Face Recognition, Face Recognition, Milos Oravec (Ed.), ISBN: 978-953-307-060-5, InTech, Available from: http://www.intechopen.com/books/facerecognition/illumination-processing-in-face-recognition  ... 
doi:10.1142/s0218001414560114 fatcat:ifk7ftontzgrdkz4pe7jjdkuoa

Crowd understanding and analysis

Qi Wang, Bo Liu, Jianzhe Lin
2021 IET Image Processing  
These social activities are often attended by a wide range of people, which puts forward high requirements for effective management and ensures the safety of the people involved in the activities.  ...  Currently, it has a wide range of applications in the fields of economy, public security, and so forth.  ...  OBJECT DETECTION AND RECOGNITION "A novel face recognition method based on fusion of LBP and HOG" of Chen et al. proposes an improved fusion local feature extraction algorithm called CS-NWALBP+HOG.  ... 
doi:10.1049/ipr2.12379 fatcat:shshhjjoxngotplvg7xzefpsne

Illumination Processing in Face Recognition [chapter]

Yongping Li, Chao Wang, Xinyu Ao
2010 Face Recognition  
However, face recognition based on multispectral image fusion is relatively unexplored. The image based fusion rule can be divided into two kinds: pixel-based and feature-based fusion.  ...  The modeling of faces under varying illumination can be based on a statistical model or a physical model. For statistical model, no assumption concerning the surface property is needed.  ...  Illumination Processing in Face Recognition, Face Recognition, Milos Oravec (Ed.), ISBN: 978-953-307-060-5, InTech, Available from: http://www.intechopen.com/books/facerecognition/illumination-processing-in-face-recognition  ... 
doi:10.5772/8937 fatcat:75e3tf6sd5ep3byewjbt2tnx4u

People Identification and Tracking Through Fusion of Facial and Gait Features [chapter]

Yu Guan, Xingjie Wei, Chang-Tsun Li, Yosi Keller
2014 Lecture Notes in Computer Science  
This paper reviews the contemporary (face, gait, and fusion) computational approaches for automatic human identification at a distance.  ...  First, we review the face recognition algorithms in light of factors, such as illumination, resolution, blur, occlusion, and pose.  ...  modelling [16] , [58] , [3] which is based on the theoretical principle that the set of images of a convex Lambertian object [45] obtained under a wide variety of illumination conditions, can be  ... 
doi:10.1007/978-3-319-13386-7_17 fatcat:ubzdqlcmxvbrpktqqusoehz3eu
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