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Efficient Detection of Occlusion prior to Robust Face Recognition
2014
The Scientific World Journal
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Facial occlusions, due, for example, to sunglasses, hat/cap, scarf, and beard, can significantly deteriorate performances of face recognition systems in uncontrolled environments such as video surveillance ...
In this paper, we propose an efficient approach which consists of first analysing the presence of potential occlusion on a face and then conducting face recognition on the nonoccluded facial regions based ...
Results of Occluded Face Recognition.
Table 3 : 3 Robustness to different facial variations. ...
doi:10.1155/2014/519158
pmid:24526902
pmcid:PMC3914590
fatcat:5ephfab2mnhytfsjhdxwyltvby
Visual Tracking via Coarse and Fine Structural Local Sparse Appearance Models
2016
IEEE Transactions on Image Processing
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To update templates more accurately without introducing occluding regions, we introduce an occlusion detection scheme to account for pixels belonging to the target objects. ...
target objects are heavily occluded. ...
He has co-authored the book entitled Face Detection and Gesture Recognition for Human-Computer Interaction (Kluwer, 2001). ...
doi:10.1109/tip.2016.2592701
pmid:27448350
fatcat:buanqzy2znavtfyyoxlyb5utmq
Partial Face Matching between Near Infrared and Visual Images in MBGC Portal Challenge
[chapter]
2009
Lecture Notes in Computer Science
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For partial face matching, we propose a local patch based method to deal with partial face data. ...
This is challenging for two reasons: (1) it has to deal with partially occluded faces in the NIR videos, and (2) the matching is between heterogeneous NIR and VIS faces. ...
For example, in [2] , local nonnegative matrix factorization is used to learn local feature subspaces for face recognition with occlusions. ...
doi:10.1007/978-3-642-01793-3_75
fatcat:iv7aou6n7ba6zdat7arpxr3ge4
Sparsely Encoded Local Descriptor for face recognition
2011
Face and Gesture 2011
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In this paper, a novel Sparsely Encoded Local Descriptor (SELD) is proposed for face recognition. ...
face representation. ...
CONCLUSION In this paper, we propose sparsely encoded local descriptor (SELD) for robust face recognition. ...
doi:10.1109/fg.2011.5771389
dblp:conf/fgr/CuiSCZ11
fatcat:yoopujkh7jcxllficipg3n2etm
Matrix Factorization on Complex Domain for Face Recognition
[chapter]
2019
Modern Face Recognition Techniques - Algorithms, Challenges and Applications [Working Title]
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Matrix factorization on complex domain is a natural extension of nonnegative matrix factorization, but it is still a very new trend in face recognition. ...
In this chapter, we present two complex matrix factorization-based models for face recognition, in which the objective functions are the real-valued functions of complex variables. ...
in two scenarios for face recognitions including holistic face and key point occluded face. ...
doi:10.5772/intechopen.85182
fatcat:inxxzx2zzzdhfajluda2j5myvi
Projective complex matrix factorization for facial expression recognition
2018
EURASIP Journal on Advances in Signal Processing
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recognition. ...
In this paper, a dimensionality reduction method applied on facial expression recognition is investigated. ...
The authors would like to thank the anonymous reviewers for their valuable comments that significantly improved the quality of this paper. ...
doi:10.1186/s13634-017-0521-9
fatcat:pmwg4a24v5ftvnkyeatppnlxii
A Comprehensive Review of Significant Researches on Face Recognition Based on Various Conditions
2012
Journal of clean energy technologies
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We first present an summary of face recognition and its applications. Then, a literature review of the predominantly used face recognition techniques is offered. ...
The assignment of face recognition has been dynamically researched in current ages. This paper offers an up-to-date evaluation of major human face recognition research. ...
In their paper, they offer a novel approach for robust pose-invariant face recognition. ...
doi:10.7763/ijcte.2012.v4.419
fatcat:rwiju3nurzbfpi6ld5sr3g45eq
Sparsely encoded local descriptor for face verification
2015
Neurocomputing
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A novel Sparsely Encoded Local Descriptor (SELD) is proposed for face verification. ...
) from local image patches sampled pixel-wisely. ...
In the case of multiple well-aligned samples per person, they reported impressive results, especially for partially occluded faces. ...
doi:10.1016/j.neucom.2014.06.044
fatcat:ncj4iijedjbq7agssh57vljbqi
Largest Matching Areas for Illumination and Occlusion Robust Face Recognition
2017
IEEE Transactions on Cybernetics
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Misalignment Robustness When performing face recognition, the probe image must be accurately aligned with the gallery images to allow corresponding face regions to be compared. ...
Similarly, in [38] and [39] , examples of occluded images patches are used to train an SVM classifier to detect occluded areas of a testing face image. ...
doi:10.1109/tcyb.2016.2529300
pmid:26955057
fatcat:53m4blcvsfhujnv3nelut5ijbq
Locality oriented feature extraction for small training datasets using non-negative matrix factorization
2014
Vietnam Journal of Computer Science
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This paper proposes a simple and effective method to construct descriptive features for partially occluded face image recognition. ...
The presented method is applied to recognize disguised faces wearing sunglasses or scarf in a control environment without any alignment required. ...
Acknowledgments This research is funded by Vietnam National University HoChiMinh City (VNU-HCMC) under the project "Feature descriptor under variation condition for real-time face recognition application ...
doi:10.1007/s40595-014-0026-5
fatcat:mvyfwy6kabahpdu7rh6gqtlgba
Regression from patch-kernel
2008
2008 IEEE Conference on Computer Vision and Pattern Recognition
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Then the patch-kernel is designed for characterizing the Kullback-Leibler divergence between the derived models for any two images, and its discriminating power is further enhanced by a weak learning process ...
In this paper, we present a patch-based regression framework for addressing the human age and head pose estimation problems. ...
Thus, it is desirable to have a discriminative and robust patch-based framework for general visual regression tasks. ...
doi:10.1109/cvpr.2008.4587405
dblp:conf/cvpr/YanZLHH08
fatcat:bv7jebkpmbf4dgxfry6nmfahl4
Penalized collaborative representation based classification for face recognition
2015
Applied intelligence (Boston)
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robust face recognition. ...
Extensive experiments were conducted to verify the face recognition performance of CRC with different instantiations. ...
When the face image is not occluded/corrupted, l 2 -norm is good enough to model e; when the face image is occluded/corrupted, l 1norm is more robust to model e. ...
doi:10.1007/s10489-015-0672-z
fatcat:dgkmwj7gl5fwbapayecdc44y2q
Labeled Faces in the Wild: A Survey
[chapter]
2016
Advances in Face Detection and Facial Image Analysis
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In 2007, Labeled Faces in the Wild was released in an effort to spur research in face recognition, specifically for the problem of face verification with unconstrained images. ...
recognition. ...
Towards Pose Robust Face Recognition, 2013 [108] This paper presents a pose adaptive framework to handle pose variations in face recognition. ...
doi:10.1007/978-3-319-25958-1_8
fatcat:nqmzsok4lvd55mqgxwp67towcu
Collaborative Representation based Classification for Face Recognition
[article]
2014
arXiv
pre-print
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2012 pre-print arXiv:1204.2358v1 fatcat:ggf5fdrgara2dpdx52jzzvlrcy
robust face recognition. ...
Extensive experiments were conducted to verify the face recognition accuracy and efficiency of CRC with different instantiations. ...
When the face image is not occluded/corrupted, l 2 -norm is good enough to model e; when the face image is occluded/corrupted, l 1 -norm is more robust to model e. ...
arXiv:1204.2358v2
fatcat:rgf5dah4hrc23paxgpdkyberwu
Facial Expression Analysis under Partial Occlusion
2018
ACM Computing Surveys
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2018 pre-print arXiv:1802.08784v1 fatcat:glypsav46nf4dmpugkonnzweae
The vast majority of completed FEA studies are based on non-occluded faces collected in a controlled laboratory environment. ...
This survey provides such a comprehensive review of recent advances in dataset creation, algorithm development, and investigations of the effects of occlusion critical for robust performance in FEA systems ...
The presence of occlusion increases the difficulty of extracting discriminative features from occluded facial parts due to inaccurate feature location, imprecise face alignment or face registration error ...
doi:10.1145/3158369
fatcat:xmfmw7z275hb7e6dbazjqm5fui
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