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Structured Occlusion Coding for Robust Face Recognition
[article]
2015
arXiv
pre-print
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We propose the structured occlusion coding (SOC) to address occlusion problems. The structured coding here lies in two folds. On one hand, we employ a structured dictionary for recognition. ...
In this paper, we consider the practical face recognition problem, where the occlusions are predictable and available for sampling. ...
We propose the structured sparse coding with an occlusion dictionary for robust face recognition in section 3, including the various details in classifying and rejecting. ...
arXiv:1502.00478v2
fatcat:765cpr2dhveezbfmag4aiak4oa
Structured occlusion coding for robust face recognition
2016
Neurocomputing
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We propose the structured occlusion coding (SOC) to address occlusion problems. The structured coding here lies in two folds. On one hand, we employ a structured dictionary for recognition. ...
Recently, several occlusion dictionary based approaches [13] [14] [15] [16] for robust face recognition have been attached more and more importance. ...
We propose the structured sparse coding with an occlusion dictionary for robust face recognition in section 3, including the various details in classifying and rejecting. ...
doi:10.1016/j.neucom.2015.05.132
fatcat:iwti42ehonemdp5wepqaf6wwsq
Masked Face Recognition Algorithm for a Contactless Distribution Cabinet
2021
Mathematical Problems in Engineering
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A masked face recognition algorithm based on attention mechanism is proposed in this paper in order to improve the recognition rate of masked face images. ...
A contactless delivery cabinet is an important courier self-pickup device, for the reason that COVID-19 can be transmitted by human contact. ...
And robust structured error coding is to use the low-rank structure of face image to recognize face. ...
doi:10.1155/2021/5591020
fatcat:su6r6nh5ufel3cpej2kglx42mq
Robust Low-Rank Regularized Regression for Face Recognition with Occlusion
2014
2014 IEEE Conference on Computer Vision and Pattern Recognition Workshops
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We thus introduce a novel robust low-rank regularized regression (RLR 3 ) method for face recognition with occlusion. ...
Recently, regression analysis based classification methods are popular for robust face recognition. These methods use a pixel-based error model, which assumes that errors of pixels are independent. ...
Chen et al. presented a novel low-rank matrix approximation algorithm with structural incoherence for robust face recognition [19] . This paper focuses on face recognition with occlusion. ...
doi:10.1109/cvprw.2014.9
dblp:conf/cvpr/QianYZL14
fatcat:qqlow7wyhbcrll44sxjxtqxuti
Fast and robust face recognition via coding residual map learning based adaptive masking
2014
Pattern Recognition
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Robust face recognition (FR) is an active topic in computer vision and biometrics, while face occlusion is one of the most challenging problems for robust FR. ...
Recently, the representation (or coding) based FR schemes with sparse coding coefficients and coding residual have demonstrated good robustness to face occlusion; however, the high complexity of l 1 -minimization ...
Intuitively, we can use the coding residual to detect the occluded pixels (for example, by setting a detection threshold), and then mask the detected occlusion pixels from the face coding to achieve robust ...
doi:10.1016/j.patcog.2013.08.003
fatcat:tn4oiurvnfh2xmqdr7n4fpg3tu
Robust nuclear norm regularized regression for face recognition with occlusion
2015
Pattern Recognition
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We thus introduce a novel robust nuclear norm regularized regression (RNR) method for face recognition with occlusion. ...
Recently, regression analysis based classification methods are popular for robust face recognition. These methods use a pixel-based error model, which assumes that errors of pixels are independent. ...
Yang and Zhang proposed a robust sparse coding (RSC) model for face recognition [7] . RSC is robust to various kinds of outliers (e.g. occlusion and facial expression). ...
doi:10.1016/j.patcog.2015.04.017
fatcat:4z7qi45wmzco7mufio6u3h5qfe
Low-Rank Laplacian-Uniform Mixed Model for Robust Face Recognition
2019
2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
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For structured errors like continuous occlusion or disguise, we utilize robust nuclear norm to constrain the rank of the error matrix. ...
Sparse representation based methods have successfully put forward a general framework for robust face recognition through linear reconstruction and sparsity constraints. ...
Face recognition on clean images The basic recognition performances of all methods on clean images of EYB, i.e., images without further occlusion or corruption, are shown in Fig. 3
Robust face recognition ...
doi:10.1109/cvpr.2019.01217
dblp:conf/cvpr/DongZL19
fatcat:c4zshqvn2zcfbozn2ccnujpcwe
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 ...
Hence, explicit occlusion analysis is an important step in occlusion-robust face recognition. ...
doi:10.1155/2014/519158
pmid:24526902
pmcid:PMC3914590
fatcat:5ephfab2mnhytfsjhdxwyltvby
Overview of Occlusion Face Recognition Technology
2018
DEStech Transactions on Computer Science and Engineering
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In the process of carding and reviewing the development of face recognition technology, this paper introduces the problem of face recognition under the condition of occlusion which is more and more important ...
in the field of face recognition. ...
There are three main categories of occlusion face recognition based on sparse representation: Robust Sparse Coding Method. ...
doi:10.12783/dtcse/ceic2018/24539
fatcat:im46ea3i7vbxljdrublqkbc4ba
Automatic Face Recognition Using Gabor Wavelet and Robust Structured Spares Representation
2014
IOSR Journal of Computer Engineering
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Gabor wavelet has beenwidely used in the face recognition task because it's good imitation of human visual. ...
But FR still remains a challenge problem in computer vision .so in this paper we proposed a new approach that use Gabor wavelet for facial feature extraction and robust structured sparse representation ...
Related Works Robust Sparse Coding for Face Recognition: This paper proposed a new scheme, namely the robust sparse coding (RSC), by modeling the sparse coding as sparsity constrained robust regression ...
doi:10.9790/0661-16198285
fatcat:23fztfs2sjg3hepr72rmofhx6y
Occluded Face Recognition Based on Double Layers Module Sparsity Difference
2014
Advances in Electronics
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Image recognition with occlusion is one of the popular problems in pattern recognition. ...
Experiments on the AR and Yale B database verify the robustness and effectiveness of the proposed method. ...
In addition, paper [7] proposed a novel low-rank matrix approximation algorithm with structural incoherence for robust face recognition. ...
doi:10.1155/2014/687827
fatcat:ifufvkzomngivmb52sgxhzxvcu
A survey of face recognition techniques under occlusion
[article]
2020
arXiv
pre-print
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The limited capacity to recognize faces under occlusions is a long-standing problem that presents a unique challenge for face recognition systems and even for humans. ...
Second, we present how existing face recognition methods cope with the occlusion problem and classify them into three categories, which are 1) occlusion robust feature extraction approaches, 2) occlusion ...
Structured occlusion coding (SOC) [148] is proposed to employ an occlusion-appended dictionary to simultaneously separate the occlusion and classify the face. ...
arXiv:2006.11366v1
fatcat:pttwdep5zbellldwricxfzgzki
Discriminative sparse representation for face recognition
2015
Multimedia tools and applications
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In this paper, we propose to weight spatial locations based on their discriminative abilities in sparse coding for robust face recognition. ...
Recently Sparse Representation (or coding) based Classification (SRC) has gained great success in face recognition. ...
Representation based face recognition methods have been recently proposed for robust face recognition [19, 6, 21, 13] . ...
doi:10.1007/s11042-015-3136-x
fatcat:3gockxcguzfongdl7cexuonkzy
Robust sparse coding for face recognition
2011
CVPR 2011
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The RSC seeks for the MLE (maximum likelihood estimation) solution of the sparse coding problem, and it is much more robust to outliers (e.g., occlusions, corruptions, etc.) than SRC. ...
Recently the sparse representation (or coding) based classification (SRC) has been successfully used in face recognition. ...
Face recognition with occlusion One of the most interesting features of sparse coding based FR in [25] is its robustness to face occlusion by adding an occlusion dictionary (an identity matrix). ...
doi:10.1109/cvpr.2011.5995393
dblp:conf/cvpr/YangZYZ11
fatcat:x7thvo6umngfvf4idhow6ainve
Robust Matrix Regression for Illumination and Occlusion Tolerant Face Recognition
2015
2015 IEEE International Conference on Computer Vision Workshop (ICCVW)
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In this paper, we operate on the two-dimensional image matrix directly, and propose a new face recognition method, namely Robust Matrix Regression (RMR). ...
Face recognition (FR) via regression analysis based classification has been widely applied in the past several years. ...
Second, NM-R is more powerful than the structured sparse error coding models. ...
doi:10.1109/iccvw.2015.118
dblp:conf/iccvw/XieYQT15
fatcat:m7ib3qf3avb57fzagvbhjts3ay
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