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Structured Occlusion Coding for Robust Face Recognition [article]

Yandong Wen, Weiyang Liu, Meng Yang, Yuli Fu, Youjun Xiang, Rui Hu
2015 arXiv   pre-print
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

Yandong Wen, Weiyang Liu, Meng Yang, Yuli Fu, Youjun Xiang, Rui Hu
2016 Neurocomputing  
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

GuiLing Wu, Yandong He
2021 Mathematical Problems in Engineering  
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

Jianjun Qian, Jian Yang, Fanglong Zhang, Zhouchen Lin
2014 2014 IEEE Conference on Computer Vision and Pattern Recognition Workshops  
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

Meng Yang, Zhizhao Feng, Simon C.K. Shiu, Lei Zhang
2014 Pattern Recognition  
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

Jianjun Qian, Lei Luo, Jian Yang, Fanlong Zhang, Zhouchen Lin
2015 Pattern Recognition  
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

Jiayu Dong, Huicheng Zheng, Lina Lian
2019 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)  
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

Rui Min, Abdenour Hadid, Jean-Luc Dugelay
2014 The Scientific World Journal  
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

RUI GU
2018 DEStech Transactions on Computer Science and Engineering  
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

R Madhura, P.Suthanthira Devi
2014 IOSR Journal of Computer Engineering  
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

Shuhuan Zhao, Zheng-ping Hu
2014 Advances in Electronics  
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]

Dan Zeng, Raymond Veldhuis, Luuk Spreeuwers
2020 arXiv   pre-print
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

Zhihong Zhang, Yuanheng Liang, Lu Bai, Edwin R. Hancock
2015 Multimedia tools and applications  
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

Meng Yang, Lei Zhang, Jian Yang, David Zhang
2011 CVPR 2011  
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

Jianchun Xie, Jian Yang, Jianjun Qian, Ying Tai
2015 2015 IEEE International Conference on Computer Vision Workshop (ICCVW)  
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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