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Appearance-based face recognition and light-fields

R. Gross, I. Matthews, S. Baker
2004 IEEE Transactions on Pattern Analysis and Machine Intelligence  
Face recognition algorithms perform very unreliably when the pose of the probe face is different from the stored face.  ...  Recognition is performed by comparing these posterior distributions for the probe and test faces. We investigate the effect of the dimensionality of the invariant vector.  ...  Matthews and S. Baker, ``Appearance-Based Face Recognition and Light Fields.' ' IEEE Trans. Pattern Analysisand Machine Intelligence, Vol. 26, pp.449-465, 2004.  ... 
doi:10.1109/tpami.2004.1265861 pmid:15382650 fatcat:c4uwuts2xrfdjizpcmzohhm5a4

Face Recognition Across Pose and Illumination [chapter]

Ralph Gross, Simon Baker, Iain Matthews, Takeo Kanade
2011 Handbook of Face Recognition  
We then describe in detail two successful appearance-based algorithms for face recognition across pose, eigen light-fields and Bayesian face subregions.  ...  As the use of face recognition systems expands towards less restricted environments, the development of algorithms for view and illumination invariant face recognition becomes important.  ...  Office of Naval Research contract N00014-00-1-0915 and in part by U.S. Department of Defense contract N41756-03-C4024.  ... 
doi:10.1007/978-0-85729-932-1_8 fatcat:fxgiaokudrcfhhcysrlvamw37u

Appearance-Based 3-D Face Recognition from Video [chapter]

Volker Krüger, Ralph Gross, Simon Baker
2002 Lecture Notes in Computer Science  
In this work we present an appearance-based 3-D Face Recognition approach that is able to recognize faces in video sequences, independent from face pose.  ...  Eigen light-fields allow us to build an appearance based 3-D model of an object; probabilistic methods for evidence integration are attractive in this context as they allow a systematic handling of uncertainty  ...  Conclusion In this paper we presented a novel approach for appearance based face recognition across pose. We used eigen light-fields to build a 3-D model of faces.  ... 
doi:10.1007/3-540-45783-6_68 fatcat:7262rkehszdr3nw647nkafznxm

Varying Illumination and Pose Conditions in Face Recognition

Manminder Singh, A.S. Arora
2016 Procedia Computer Science  
Majority of research in this field has been focused on frontal face recognition.  ...  Human face can have lot of variations in appearance. Face recognition system must be capable of identifying face despite these variations.  ...  Most of the research in the field of face recognition is focused on the frontal face, while very little research work had been done in this field based upon varying illumination and pose conditions.  ... 
doi:10.1016/j.procs.2016.05.255 fatcat:d74zbirnvbg3tibbj3nel4m5um

Face recognition: Some challenges in forensics

Anil K. Jain, Brendan Klare, Unsang Park
2011 Face and Gesture 2011  
Face recognition system must to robust to recognize identity despite of many variations in appearance.  ...  In field of face recognition 3D pose problem, illumination problem, foreground and background segmentation are some of the pertinent issues in the field of computer vision as a whole.  ...  Various face recognition methods can be grouped into four categories: a) knowledge based methods; b) feature invariant methods; c) template matching methods and d) appearance-based approaches [5] .  ... 
doi:10.1109/fg.2011.5771338 dblp:conf/fgr/JainKP11 fatcat:b7gliopfhndg5idzand5dcoxa4

Appearance and Shape Based Face Recognition Using Backpropagation Learning Neural Network Algorithm with Different Lighting Variations

Md. Rabiul Islam
2013 Science Journal of Circuits Systems and Signal Processing  
To measure the performance of the proposed appearance and shape based facial recognition system, VALID database has been used where each face has been captured with four different lighting variations.  ...  Experiments have been performed with Appearance-Only, Shape-Only and combined Appearance-Shape based feature and performance of the proposed system shows the superiority of the face recognition system.  ...  Face recognition based personal identification results in a highly accurate and secured system that has been widely applied in various practical fields [2, 3, 4] .  ... 
doi:10.11648/j.cssp.20130204.11 fatcat:ujc47uw2inf5ndnmiovv2yszqe

Unconstrained Face Recognition from a Single Image [chapter]

Shaohua Kevin Zhou, Rama Chellappa, Narayanan Ramanathan
2009 The Essential Guide to Image Processing  
ILLUMINATING LIGHT FIELD: FACE RECOGNITION UNDER ILLUMINATION AND POSE VARIATIONS A.  ...  Most face recognition approaches addressing pose variations use view-based appearance representations [11] , [20] , [49] .  ... 
doi:10.1016/b978-0-12-374457-9.00024-x fatcat:ce4aq57r4bhrbd6quanyhdwmhm

An Illumination Invariant Face Recognition Approach Using Exemplar-Based Synthesis Technique [chapter]

Tele Tan, Thorsten Kühnapfel, Amelyn Wongso, Fee-Lee Lim
2005 Lecture Notes in Computer Science  
We subsequently use the canonical face to synthesize novel face appearances together with a set of lighting models.  ...  We introduce an exemplar-based technique to decouple and subsequently recover the canonical face and the illumination functions from the intensity images.  ...  Debevec in [6] presented a method to acquire the reflectance field of a human face and use these measurements to render the face under arbitrary changes in lighting and viewpoint.  ... 
doi:10.1007/11556121_7 fatcat:axsizpcckjcqneymxvrelxx5yi

Face Recognition using Eigenfaces

M AImran, M S U Miah, H Rahman, A Bhowmik, D Karmaker
2015 International Journal of Computer Applications  
We tried to develop a real time face detection and recognition system which uses an "appearance-based" approach. For detection purpose we used Viola Jones algorithm.  ...  To recognize face we worked with Eigen Faces which is a PCA based algorithm. In a real time to recognize a face we need a data training set.  ...  EIGENFACES Eigenfaces are used in computer vision for human face recognition. Eigen faces assume ghastly appearance. Eigen faces refers to an appearance-based approach for face recognition.  ... 
doi:10.5120/20740-3119 fatcat:l56k3gu3ujadxgtcws2ll4rgeq

A Comprehensive Review of Significant Researches on Face Recognition Based on Various Conditions

S. Muruganantham, T. Jebarajan
2012 Journal of clean energy technologies  
In this paper, we present a wide review of major researches on face recognition process based on various conditions.  ...  We first present an summary of face recognition and its applications. Then, a literature review of the predominantly used face recognition techniques is offered.  ...  Even though the fact that face recognition has developed into an wide research field, around numerous major challenges prevailing, including handling changes in lighting, expression, facial hair and facial  ... 
doi:10.7763/ijcte.2012.v4.419 fatcat:rwiju3nurzbfpi6ld5sr3g45eq

Face Recognition: A Novel Multi-Level Taxonomy based Survey [article]

Alireza Sepas-Moghaddam, Fernando Pereira, Paulo Lobato Correia
2019 arXiv   pre-print
This paper proposes a new, more encompassing and richer multi-level face recognition taxonomy, facilitating the organization and categorization of available and emerging face recognition solutions; this  ...  To help understanding the landscape and abstraction levels relevant for face recognition systems, face recognition taxonomies allow a deeper dissection and comparison of the existing solutions.  ...  ; LFHG, Light Field Histogram of Gradients; LFLBP, Light Field Local Binary Patterns; LF-LSTM, Light Field Long Short-Term Memory; LFW, Labelled Faces in the Wild; LiFFID, Light Field Face and Iris Database  ... 
arXiv:1901.00713v1 fatcat:ofks5jqf6fca3e4l27nph6eiri

Techniques for Face Detection & Recognition Systema Comprehensive Review

Vandana S .Bhat
2013 IOSR Journal of Computer Engineering  
In this paper, we present a broad range review of major researches on face recognition process based on various circumstances.  ...  We first present a summary of face detection, face recognition and its solicitations. Then, a literature review of the predominantly used face recognition techniques is accessible.  ...  Many paradigms are appeared in [50, 51] . V. COMPARISON OF DIFFERENT FACE DATA BASE FOR FACE RECOGNITION In Section 3 and 4, a number of face recognition algorithms have been described.  ... 
doi:10.9790/0661-1550112 fatcat:caae3ytzxvdzpmoxpru5dzwnwu

Scrutinize Study on Face Recognition by Pose Invariant Methodology

Deepika Dubey, G.S Tomar, Hye-jin Kim
2016 International Journal of Future Generation Communication and Networking  
(2D) face recognition.  ...  Depth information has improved the performance of face recognition with large pose variations up to the mark able angle and under even more challenging conditions.  ...  Appearance based Face Recognition In appearance based face recognition, the features are selected by the pixel intensity value in the image of the face as an object.  ... 
doi:10.14257/ijfgcn.2016.9.9.30 fatcat:7pubhhmelvhtzj2qxcukr2wmja

Image-based face recognition under illumination and pose variations

Shaohua Kevin Zhou, Rama Chellappa
2005 Optical Society of America. Journal A: Optics, Image Science, and Vision  
Baker, “Eigen light-fields and face recognition across pose,” Proceedings of the Fifth International Conference on Automatic Face and Gesture Recognition, pp. 3-9, Washington D.C., USA, 2002. 9.  ...  However, in the context of view-based face recognition, where only some specific poses are of interest with each pose sampling a subset of the light field, we can only focus on the portion of the light  ... 
doi:10.1364/josaa.22.000217 pmid:15717550 fatcat:65dzwxlfgjh2firnmowta5ouly

Human Identification using Gait and Face

Rama Chellappa, Amit K. Roy-Chowdhury, Amit Kale
2007 2007 IEEE Conference on Computer Vision and Pattern Recognition  
light field.  ...  In [25] , the Fisher light field is proposed to handle both illumination and pose variations, where the light field is used to cover the pose variation and the Fisher discriminant analysis to cover the  ... 
doi:10.1109/cvpr.2007.383523 dblp:conf/cvpr/ChellappaCK07 fatcat:66igb4huk5gu5gvwz4lc5c7xmy
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