Fully convolutional Deep Stacked Denoising Sparse Auto encoder network for partial face reconstruction
•In this partial face detection (PFD) is used to overcome the challenges involved in face detection and reconstruction.•A novel PFD algorithm called Self- motivated feature mapping (SMFM) combining a FCN and DS-DSA algorithm.•The proposed system focuses the feature maps from the FCN and used by the...
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| Vydané v: | Pattern recognition Ročník 130; s. 108783 |
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| Médium: | Journal Article |
| Jazyk: | English |
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Elsevier Ltd
01.10.2022
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| ISSN: | 0031-3203, 1873-5142 |
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| Abstract | •In this partial face detection (PFD) is used to overcome the challenges involved in face detection and reconstruction.•A novel PFD algorithm called Self- motivated feature mapping (SMFM) combining a FCN and DS-DSA algorithm.•The proposed system focuses the feature maps from the FCN and used by the DS-DSA to perform partial face reconstruction.•The spatial maps are generated by extracting the features from FCN and supplied as the input for partial reconstruction.•By using principle component analysis and linear regression method and re-identification to the DS-DSA network.
Face recognition is one of the most successful applications of image analysis. Since 1960s, automatic face recognition research has been carried out, but the problem is still unresolved. Therefore, in this manuscript, a novel Partial face reconstruction (PFR) algorithm called Self- motivated feature mapping (SMFM) combining a Fully Convolutional Network (FCN) and Deep Stacked Denoising Sparse Autoencoders (DS-DSA) algorithm is proposed to overcome the challenges. The proposed approach focuses on the generation of feature maps from the Fully Convolutional Network and it is used Deep Stacked Denoising Sparse Autoencoders to perform the partial face reconstruction. The spatial maps are generated by extracting the features from Fully Convolutional Network and it is supplied as the input for partial reconstruction and re-identification to the Deep Stacked Denoising Sparse Autoencoders network. The main aim of the proposed work is “to enhance the accuracy during facial reconstruction”. The proposed approach is implemented in MATLAB platform. The performance of the proposed approach attains 23.45% and 20.41% accuracy,25.93`% and 19.43% sensitivity, 22.21% and 24.41% precision and20.21% and 23.41% Specificity greater than the existing approaches, like Partial Face Reconstruction using generative adversarial networks (GANs), Partial Face Reconstruction using Deep Recurrent neural network (DRNN). |
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| AbstractList | •In this partial face detection (PFD) is used to overcome the challenges involved in face detection and reconstruction.•A novel PFD algorithm called Self- motivated feature mapping (SMFM) combining a FCN and DS-DSA algorithm.•The proposed system focuses the feature maps from the FCN and used by the DS-DSA to perform partial face reconstruction.•The spatial maps are generated by extracting the features from FCN and supplied as the input for partial reconstruction.•By using principle component analysis and linear regression method and re-identification to the DS-DSA network.
Face recognition is one of the most successful applications of image analysis. Since 1960s, automatic face recognition research has been carried out, but the problem is still unresolved. Therefore, in this manuscript, a novel Partial face reconstruction (PFR) algorithm called Self- motivated feature mapping (SMFM) combining a Fully Convolutional Network (FCN) and Deep Stacked Denoising Sparse Autoencoders (DS-DSA) algorithm is proposed to overcome the challenges. The proposed approach focuses on the generation of feature maps from the Fully Convolutional Network and it is used Deep Stacked Denoising Sparse Autoencoders to perform the partial face reconstruction. The spatial maps are generated by extracting the features from Fully Convolutional Network and it is supplied as the input for partial reconstruction and re-identification to the Deep Stacked Denoising Sparse Autoencoders network. The main aim of the proposed work is “to enhance the accuracy during facial reconstruction”. The proposed approach is implemented in MATLAB platform. The performance of the proposed approach attains 23.45% and 20.41% accuracy,25.93`% and 19.43% sensitivity, 22.21% and 24.41% precision and20.21% and 23.41% Specificity greater than the existing approaches, like Partial Face Reconstruction using generative adversarial networks (GANs), Partial Face Reconstruction using Deep Recurrent neural network (DRNN). |
| ArticleNumber | 108783 |
| Author | Dinesh, P.S. Manikandan, M. |
| Author_xml | – sequence: 1 givenname: P.S. surname: Dinesh fullname: Dinesh, P.S. email: psdinesh0202@gmail.com organization: Research Scholar, Madras Institute of Technology, Anna University, Chennai – sequence: 2 givenname: M. surname: Manikandan fullname: Manikandan, M. email: maniiz@annauniv.edu organization: Research Scholar, Madras Institute of Technology, Anna University, Chennai |
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| CitedBy_id | crossref_primary_10_1016_j_partic_2024_05_011 crossref_primary_10_1016_j_patcog_2024_110353 crossref_primary_10_1109_ACCESS_2024_3518575 crossref_primary_10_1038_s41598_025_99163_w crossref_primary_10_1007_s10489_024_05868_2 |
| Cites_doi | 10.1002/nla.2180 10.1109/JBHI.2017.2705031 10.1007/s41660-021-00177-4 10.1109/LSP.2020.3032277 10.1007/s10462-020-09825-6 10.1016/j.eswa.2019.112854 10.1109/TMM.2021.3068567 10.1016/j.future.2018.05.002 10.1371/journal.pcbi.1006633 10.1016/j.tics.2018.06.006 10.1016/j.imavis.2018.09.004 10.1109/TBIOM.2020.3025466 10.1016/j.displa.2021.102094 10.1016/j.patcog.2021.108147 10.1016/j.patcog.2020.107753 10.1109/TMM.2020.2994506 10.1109/TMM.2020.2993962 10.1142/S0218126622500931 10.1109/ACCESS.2019.2938671 10.1016/j.patcog.2020.107737 10.1016/j.patcog.2021.108141 10.1016/j.patcog.2021.107945 10.1016/j.patcog.2021.108116 10.1016/j.patcog.2021.107873 10.1007/s12652-019-01257-7 10.1109/ACCESS.2019.2938878 10.1016/j.patcog.2021.108102 10.1007/s10845-018-1431-x 10.1109/JSEN.2019.2958655 10.1016/j.patcog.2020.107813 10.1016/j.patcog.2021.107866 10.1109/ACCESS.2021.3050788 10.1080/15567036.2021.1986606 10.1109/TIP.2020.3005241 10.1109/TIP.2020.3017347 10.1016/j.patcog.2021.107931 10.1016/j.patcog.2020.107802 10.1016/j.patcog.2021.108036 10.1016/j.patcog.2020.107669 10.1016/j.neucom.2019.07.008 |
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| Keywords | Fully convolutional network Partial face recognition Autoencoder Deep learning algorithm |
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| References | Görgel, Simsek (bib0043) 2019; 355 Lu, Chen, Wu, Zhang (bib0042) 2019; 365 Khan, Sohail, Zahoora, Qurush (bib0016) 2020; 53 Yu, Tan, Ni, Qin, Chen, Li, Lei, Wang (bib0019) 2017; 22 Zangeneh, Rahmati, Mohsenzadeh (bib0017) 2020; 139 Pan, Ng (bib0026) 2018; 25 Han, Zhou, Xie, Gong, Lei, Shi (bib0032) 2021; 113 Tu, Zhao, Xie, Jiang, Balamurugan, Luo, Zhao, He, Ma, Feng (bib0002) 2020; 23 Fan, Cheng, Huyan, Hou, Liu, Luo (bib0045) 2020; 23 Chai, Chen, Liang, Xu, Lin (bib0005) 2021; 23 Di, Riggan, Hu, Short, Patel (bib0044) 2019 Wu, Xie, Nie, Lin, Zha (bib0021) 2021; 113 Yan, Duffner, Phutane, Berthelier, Blanc, Garcia, Chateau (bib0034) 2021; 116 Zeng, Gong, Zhang (bib0033) 2021; 119 Cen, Zhao, Li, Wang (bib0039) 2021; 111 Wang, Qiao, Zhang, Yang, Snoussi (bib0046) 2020; 31 P. Rajesh, F.H. Shajin, B. Mouli Chandra, B.N. Kommula. Diminishing energy consumption cost and optimal energy management of photovoltaic aided electric vehicle (PV-EV) By GFO-VITG approach. Energy Sources Part A: Recovery Utilization Environ. Eff.. (2021)1–9. Ning, Duan, Li, Zhang (bib0008) 2020; 27 Zhong, Pei, Li, Guo, Ma, Liu, Bai, Wu, Zha (bib0004) 2020; 3 Li, Hao, He, Feng (bib0015) 2020; 11 . Pei, Jin, Zhang, Ma, Yang (bib0035) 2021; 111 Lv (bib0030) 2020; 32 Shajin, Rajesh (bib0011) 2022; 31 Zhang, Yao, Zhang, Tai, Ding, Li, Huang, Song, Ma (bib0047) 2020 Li, Shi, Song, Hao, Qin (bib0036) 2021; 120 Rajesh, Shajin, Vijaya Anand (bib0012) 2021; 5 Shen, Horikawa, Majima, Kamitani (bib0027) 2019; 15 Li, Su, Deng, Cai (bib0007) 2019; 20 Strohm, Sood, Mayer, Muller, Bâce, Bulling (bib0025) 2021 Raza, Sharif, Yasmin, Khan, Saba, Fernandes (bib0020) 2018; 88 Castro, Armagan, Kim (bib0009) 2020 Bai, Wang, Liu, Liu, Song, Sebe, Kim (bib0038) 2021; 120 Cai, Zhang, Xiao, Fan (bib0049) 2021 Shajin, Rajesh, Thilaha (bib0013) 2020; 1 Gao, Zhao, Gao, Zou, Dou, Kakadiaris (bib0031) 2019; 7 bib0054 bib0053 bib0052 Ye, Xiao (bib0028) 2019; 7 Zhang, Gao, Zhou (bib0024) 2021; 120 Li, Hu, Zhu, Zuo, Wang, Zhang (bib0010) 2020; 29 Chen, Wu, Wang, Song, Ling, Bao (bib0048) 2020; 29 Chaudhuri, Vesdapunt, Shapiro, Wang (bib0003) 2020 Shang, Wang, Shang, Jiao, Li (bib0041) 2021; 114 Liang, Timofte, Wang, Zhou, Gong, Zheng (bib0037) 2021; 116 Lee, Kang, Yoon, Park (bib0029) 2021; 9 O'Toole, Castillo, Parde, Hill, Chellappa (bib0018) 2018; 22 Tong, Zhou (bib0022) 2021; 115 Zhao, Wu (bib0001) 2021 Liu, Zhu, Long, Huang, Liu (bib0023) 2021; 113 Wang, Li, Wu (bib0006) 2021 Sevilla-Salcedo, Gómez-Verdejo, Olmos (bib0040) 2021; 120 Dou, Kakadiaris (bib0050) 2018; 80 Li (10.1016/j.patcog.2022.108783_bib0010) 2020; 29 Rajesh (10.1016/j.patcog.2022.108783_bib0012) 2021; 5 Yu (10.1016/j.patcog.2022.108783_bib0019) 2017; 22 Di (10.1016/j.patcog.2022.108783_bib0044) 2019 Zangeneh (10.1016/j.patcog.2022.108783_bib0017) 2020; 139 Lv (10.1016/j.patcog.2022.108783_bib0030) 2020; 32 Fan (10.1016/j.patcog.2022.108783_bib0045) 2020; 23 Zhong (10.1016/j.patcog.2022.108783_bib0004) 2020; 3 Strohm (10.1016/j.patcog.2022.108783_bib0025) 2021 Shen (10.1016/j.patcog.2022.108783_bib0027) 2019; 15 Pei (10.1016/j.patcog.2022.108783_bib0035) 2021; 111 Dou (10.1016/j.patcog.2022.108783_bib0050) 2018; 80 Wang (10.1016/j.patcog.2022.108783_bib0046) 2020; 31 Ye (10.1016/j.patcog.2022.108783_bib0028) 2019; 7 Shajin (10.1016/j.patcog.2022.108783_bib0013) 2020; 1 Han (10.1016/j.patcog.2022.108783_bib0032) 2021; 113 Liang (10.1016/j.patcog.2022.108783_bib0037) 2021; 116 Shang (10.1016/j.patcog.2022.108783_bib0041) 2021; 114 Li (10.1016/j.patcog.2022.108783_bib0007) 2019; 20 Sevilla-Salcedo (10.1016/j.patcog.2022.108783_bib0040) 2021; 120 Gao (10.1016/j.patcog.2022.108783_bib0031) 2019; 7 Shajin (10.1016/j.patcog.2022.108783_bib0011) 2022; 31 Li (10.1016/j.patcog.2022.108783_bib0036) 2021; 120 Li (10.1016/j.patcog.2022.108783_bib0015) 2020; 11 Cen (10.1016/j.patcog.2022.108783_bib0039) 2021; 111 Zhang (10.1016/j.patcog.2022.108783_bib0047) 2020 Khan (10.1016/j.patcog.2022.108783_bib0016) 2020; 53 Tong (10.1016/j.patcog.2022.108783_bib0022) 2021; 115 Chai (10.1016/j.patcog.2022.108783_bib0005) 2021; 23 Lu (10.1016/j.patcog.2022.108783_bib0042) 2019; 365 Chen (10.1016/j.patcog.2022.108783_bib0048) 2020; 29 Pan (10.1016/j.patcog.2022.108783_bib0026) 2018; 25 Lee (10.1016/j.patcog.2022.108783_bib0029) 2021; 9 Wang (10.1016/j.patcog.2022.108783_bib0006) 2021 Görgel (10.1016/j.patcog.2022.108783_bib0043) 2019; 355 Zhao (10.1016/j.patcog.2022.108783_bib0001) 2021 Tu (10.1016/j.patcog.2022.108783_bib0002) 2020; 23 10.1016/j.patcog.2022.108783_bib0014 Cai (10.1016/j.patcog.2022.108783_bib0049) 2021 Raza (10.1016/j.patcog.2022.108783_bib0020) 2018; 88 O'Toole (10.1016/j.patcog.2022.108783_bib0018) 2018; 22 Zhang (10.1016/j.patcog.2022.108783_bib0024) 2021; 120 Castro (10.1016/j.patcog.2022.108783_bib0009) 2020 Chaudhuri (10.1016/j.patcog.2022.108783_bib0003) 2020 Yan (10.1016/j.patcog.2022.108783_bib0034) 2021; 116 Zeng (10.1016/j.patcog.2022.108783_bib0033) 2021; 119 Ning (10.1016/j.patcog.2022.108783_bib0008) 2020; 27 10.1016/j.patcog.2022.108783_bib0054 10.1016/j.patcog.2022.108783_bib0053 10.1016/j.patcog.2022.108783_bib0052 Wu (10.1016/j.patcog.2022.108783_bib0021) 2021; 113 Bai (10.1016/j.patcog.2022.108783_bib0038) 2021; 120 10.1016/j.patcog.2022.108783_bib0051 Liu (10.1016/j.patcog.2022.108783_bib0023) 2021; 113 |
| References_xml | – ident: bib0052 – volume: 9 start-page: 10120 year: 2021 end-page: 10135 ident: bib0029 article-title: Enhanced Iris recognition method by generative adversarial network-based image reconstruction publication-title: IEEE Access – volume: 119 year: 2021 ident: bib0033 article-title: Feature learning and patch matching for diverse image in painting publication-title: Pattern Recognit. – start-page: 641 year: 2020 end-page: 657 ident: bib0047 article-title: Face anti-spoofing via disentangled representation learning publication-title: Proceedings of the European Conference on Computer Vision – volume: 355 start-page: 325 year: 2019 end-page: 342 ident: bib0043 article-title: Face recognition via Deep Stacked Denoising Sparse autoencoders (DSDSA) publication-title: Appl. Math. Comput. – volume: 114 year: 2021 ident: bib0041 article-title: Dual space latent representation learning for unsupervised feature selection publication-title: Pattern Recognit. – volume: 120 year: 2021 ident: bib0036 article-title: Hierarchical object relationship constrained monocular depth estimation publication-title: Pattern Recognit. – volume: 365 start-page: 113 year: 2019 end-page: 124 ident: bib0042 article-title: FCN based preprocessing for exemplar-based face sketch synthesis publication-title: Neurocomputing – volume: 29 start-page: 8696 year: 2020 end-page: 8705 ident: bib0048 article-title: Self-supervised learning of detailed 3d face reconstruction publication-title: IEEE Trans. Image Process. – volume: 3 start-page: 6 year: 2020 end-page: 15 ident: bib0004 article-title: Depth-based 3d face reconstruction and pose estimation using shape-preserving domain adaptation publication-title: IEEE Trans. Biom. Behav. Identity Sci. – volume: 88 start-page: 28 year: 2018 end-page: 39 ident: bib0020 article-title: Appearance based pedestrians’ gender recognition by employing stacked auto encoders in deep learning publication-title: Future Gener. Comput. Syst. – volume: 22 start-page: 794 year: 2018 end-page: 809 ident: bib0018 article-title: Face space representations in deep convolutional neural networks publication-title: Trends Cogn. Sci. – volume: 20 start-page: 11909 year: 2019 end-page: 11918 ident: bib0007 article-title: 3D reconstruction of face image authentication technology in electronic transaction authentication publication-title: IEEE Sens. J. – volume: 113 year: 2021 ident: bib0023 article-title: Low-rank tensor ring learning for multi-linear regression publication-title: Pattern Recognit. – volume: 31 start-page: 1611 year: 2020 end-page: 1619 ident: bib0046 article-title: Data-driven prognostic method based on self-supervised learning approaches for fault detection publication-title: J. Intell. Manuf – volume: 11 start-page: 2349 year: 2020 end-page: 2367 ident: bib0015 article-title: Image gradient orientations embedded structural error coding for face recognition with occlusion publication-title: J. Ambient Intell. Humaniz. Comput. – volume: 116 year: 2021 ident: bib0034 article-title: 2D Wasserstein loss for robust facial landmark detection publication-title: Pattern Recognit. – volume: 120 year: 2021 ident: bib0040 article-title: Sparse semi-supervised heterogeneous interbatterybayesi an analysis publication-title: Pattern Recognit. – volume: 29 start-page: 7641 year: 2020 end-page: 7655 ident: bib0010 article-title: Learning symmetry consistent deep CNNS for face completion publication-title: IEEE Trans. Image Process. – volume: 25 start-page: e2180 year: 2018 ident: bib0026 article-title: Symmetric orthogonal approximation to symmetric tensors with applications to image reconstruction publication-title: Numer. Linear Algebra Appl. – volume: 116 year: 2021 ident: bib0037 article-title: Single-Image super-resolution-when model adaptation matters publication-title: Pattern Recognit. – volume: 120 year: 2021 ident: bib0024 article-title: A unified weight learning and low-rank regression model for robust complex error modeling publication-title: Pattern Recognit. – volume: 7 start-page: 165559 year: 2019 end-page: 165570 ident: bib0031 article-title: 3d face reconstruction from volumes of videos using a mapreduce framework publication-title: IEEE Access – start-page: 4147 year: 2020 end-page: 4151 ident: bib0009 article-title: May. Accurate 6D object pose estimation by pose conditioned mesh reconstruction publication-title: Proceedings of the ICASSP 2020-2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) – volume: 111 year: 2021 ident: bib0039 article-title: Deep feature augmentation for occluded image classification publication-title: Pattern Recognit. – volume: 113 year: 2021 ident: bib0021 article-title: Reconstruction regularized low-rank subspace learning for cross-modal retrieval publication-title: Pattern Recognit. – volume: 115 year: 2021 ident: bib0022 article-title: Face alignment using two-stage cascaded pose regression and mirror error correction publication-title: Pattern Recognit. – volume: 23 start-page: 1160 year: 2020 end-page: 1172 ident: bib0002 article-title: 3d face reconstruction from a single image assisted by 2d face images in the wild publication-title: IEEE Trans. Multimed. – ident: bib0054 – volume: 1 start-page: 7 year: 2020 ident: bib0013 article-title: Bald eagle search optimization algorithm for cluster head selection with prolong lifetime in wireless sensor network publication-title: J. Soft Comput. Eng. Appl. – volume: 111 year: 2021 ident: bib0035 article-title: All-in-focus synthetic aperture imaging using generative adversarial network-based semantic in painting publication-title: Pattern Recognit. – volume: 80 start-page: 80 year: 2018 end-page: 91 ident: bib0050 article-title: Multi-view 3D face reconstruction with deep recurrent neural networks publication-title: Image Vis. Comput. – start-page: 142 year: 2020 end-page: 160 ident: bib0003 article-title: Personalized face modeling for improved face reconstruction and motion retargeting publication-title: Proceedings of the European Conference on Computer Vision – volume: 120 year: 2021 ident: bib0038 article-title: Explainable deep learning for efficient and robust pattern recognition: a survey of recent developments publication-title: Pattern Recognit. – volume: 32 start-page: 8893 year: 2020 end-page: 8900 ident: bib0030 article-title: Robust3d: a robust 3d face reconstruction application publication-title: Neural Comput. Appl. – volume: 53 start-page: 5455 year: 2020 end-page: 5516 ident: bib0016 article-title: A survey of the recent architectures of deep convolutional neural networks publication-title: Artif. Intell. Rev. – volume: 113 year: 2021 ident: bib0032 article-title: Collaborative representation with curriculum classifier boosting for unsupervised domain adaptation publication-title: Pattern Recognit. – start-page: 245 year: 2021 end-page: 254 ident: bib0025 article-title: Neural Photofit: gaze-based mental image reconstruction publication-title: Proceedings of the IEEE/CVF International Conference on Computer Vision – volume: 31 year: 2022 ident: bib0011 article-title: FPGA realization of a reversible data hiding scheme for 5G MIMO-OFDM system by Chaotic Key Generation-Based Paillier Cryptography Along with LDPC and its side channel estimation using machine learning technique publication-title: J. Circ. Syst. Comput. – reference: P. Rajesh, F.H. Shajin, B. Mouli Chandra, B.N. Kommula. Diminishing energy consumption cost and optimal energy management of photovoltaic aided electric vehicle (PV-EV) By GFO-VITG approach. Energy Sources Part A: Recovery Utilization Environ. Eff.. (2021)1–9. – start-page: 493 year: 2021 end-page: 505 ident: bib0006 article-title: Graph structure reasoning network for face alignment and reconstruction publication-title: Proceedings of the International Conference on Multimedia Modeling – volume: 27 start-page: 1944 year: 2020 end-page: 1948 ident: bib0008 article-title: Real-time 3D face alignment using an encoder-decoder network with an efficient de-convolution layer publication-title: IEEE Signal Process. Lett. – volume: 22 start-page: 874 year: 2017 end-page: 885 ident: bib0019 article-title: A deep convolutional neural network-based framework for automatic fetal facial standard plane recognition publication-title: IEEE J. Biomed. Health Inform. – ident: bib0053 – volume: 15 year: 2019 ident: bib0027 article-title: Deep image reconstruction from human brain activity publication-title: PLoS Comput. Biol. – volume: 7 start-page: 125146 year: 2019 end-page: 125154 ident: bib0028 article-title: Shortcut-upsampling block for 3D face reconstruction and dense alignment via position map publication-title: IEEE Access – volume: 23 start-page: 1252 year: 2020 end-page: 1263 ident: bib0045 article-title: Dual neural networks coupling data regression with explicit priors for monocular 3D face reconstruction publication-title: IEEE Trans. Multimed. – year: 2021 ident: bib0049 article-title: 3D face reconstruction and dense alignment with a new generated dataset publication-title: Displays – reference: . – start-page: 1 year: 2019 end-page: 8 ident: bib0044 article-title: Polarimetric thermal to visible face verification via self-attention guided synthesis publication-title: Proceedings of the 2019 International Conference on Biometrics (ICB) – volume: 139 year: 2020 ident: bib0017 article-title: Low resolution face recognition using a two-branch deep convolutional neural network architecture publication-title: Expert Syst. Appl. – start-page: 1 year: 2021 end-page: 10 ident: bib0001 article-title: Three-dimensional face reconstruction of static images and computer standardization issues publication-title: Soft Comput. – volume: 5 start-page: 777 year: 2021 end-page: 792 ident: bib0012 article-title: An efficient estimation model for induction motor using BMO-RBFNN technique publication-title: Process Integr. Optim. Sustain. – volume: 23 start-page: 2998 year: 2021 end-page: 3012 ident: bib0005 article-title: Expression-aware face reconstruction via a dual-stream network publication-title: IEEE Trans. Multimed. – volume: 25 start-page: e2180 issue: 5 year: 2018 ident: 10.1016/j.patcog.2022.108783_bib0026 article-title: Symmetric orthogonal approximation to symmetric tensors with applications to image reconstruction publication-title: Numer. Linear Algebra Appl. doi: 10.1002/nla.2180 – volume: 22 start-page: 874 issue: 3 year: 2017 ident: 10.1016/j.patcog.2022.108783_bib0019 article-title: A deep convolutional neural network-based framework for automatic fetal facial standard plane recognition publication-title: IEEE J. Biomed. Health Inform. doi: 10.1109/JBHI.2017.2705031 – volume: 5 start-page: 777 issue: 4 year: 2021 ident: 10.1016/j.patcog.2022.108783_bib0012 article-title: An efficient estimation model for induction motor using BMO-RBFNN technique publication-title: Process Integr. Optim. Sustain. doi: 10.1007/s41660-021-00177-4 – volume: 27 start-page: 1944 year: 2020 ident: 10.1016/j.patcog.2022.108783_bib0008 article-title: Real-time 3D face alignment using an encoder-decoder network with an efficient de-convolution layer publication-title: IEEE Signal Process. Lett. doi: 10.1109/LSP.2020.3032277 – volume: 53 start-page: 5455 issue: 8 year: 2020 ident: 10.1016/j.patcog.2022.108783_bib0016 article-title: A survey of the recent architectures of deep convolutional neural networks publication-title: Artif. Intell. Rev. doi: 10.1007/s10462-020-09825-6 – volume: 139 year: 2020 ident: 10.1016/j.patcog.2022.108783_bib0017 article-title: Low resolution face recognition using a two-branch deep convolutional neural network architecture publication-title: Expert Syst. Appl. doi: 10.1016/j.eswa.2019.112854 – volume: 23 start-page: 2998 year: 2021 ident: 10.1016/j.patcog.2022.108783_bib0005 article-title: Expression-aware face reconstruction via a dual-stream network publication-title: IEEE Trans. Multimed. doi: 10.1109/TMM.2021.3068567 – volume: 88 start-page: 28 year: 2018 ident: 10.1016/j.patcog.2022.108783_bib0020 article-title: Appearance based pedestrians’ gender recognition by employing stacked auto encoders in deep learning publication-title: Future Gener. Comput. Syst. doi: 10.1016/j.future.2018.05.002 – volume: 355 start-page: 325 year: 2019 ident: 10.1016/j.patcog.2022.108783_bib0043 article-title: Face recognition via Deep Stacked Denoising Sparse autoencoders (DSDSA) publication-title: Appl. Math. Comput. – ident: 10.1016/j.patcog.2022.108783_bib0053 – volume: 15 issue: 1 year: 2019 ident: 10.1016/j.patcog.2022.108783_bib0027 article-title: Deep image reconstruction from human brain activity publication-title: PLoS Comput. Biol. doi: 10.1371/journal.pcbi.1006633 – volume: 22 start-page: 794 issue: 9 year: 2018 ident: 10.1016/j.patcog.2022.108783_bib0018 article-title: Face space representations in deep convolutional neural networks publication-title: Trends Cogn. Sci. doi: 10.1016/j.tics.2018.06.006 – volume: 80 start-page: 80 year: 2018 ident: 10.1016/j.patcog.2022.108783_bib0050 article-title: Multi-view 3D face reconstruction with deep recurrent neural networks publication-title: Image Vis. Comput. doi: 10.1016/j.imavis.2018.09.004 – volume: 3 start-page: 6 issue: 1 year: 2020 ident: 10.1016/j.patcog.2022.108783_bib0004 article-title: Depth-based 3d face reconstruction and pose estimation using shape-preserving domain adaptation publication-title: IEEE Trans. Biom. Behav. Identity Sci. doi: 10.1109/TBIOM.2020.3025466 – start-page: 245 year: 2021 ident: 10.1016/j.patcog.2022.108783_bib0025 article-title: Neural Photofit: gaze-based mental image reconstruction – volume: 32 start-page: 8893 year: 2020 ident: 10.1016/j.patcog.2022.108783_bib0030 article-title: Robust3d: a robust 3d face reconstruction application – year: 2021 ident: 10.1016/j.patcog.2022.108783_bib0049 article-title: 3D face reconstruction and dense alignment with a new generated dataset publication-title: Displays doi: 10.1016/j.displa.2021.102094 – volume: 120 year: 2021 ident: 10.1016/j.patcog.2022.108783_bib0024 article-title: A unified weight learning and low-rank regression model for robust complex error modeling publication-title: Pattern Recognit. doi: 10.1016/j.patcog.2021.108147 – volume: 113 year: 2021 ident: 10.1016/j.patcog.2022.108783_bib0023 article-title: Low-rank tensor ring learning for multi-linear regression publication-title: Pattern Recognit. doi: 10.1016/j.patcog.2020.107753 – volume: 23 start-page: 1252 year: 2020 ident: 10.1016/j.patcog.2022.108783_bib0045 article-title: Dual neural networks coupling data regression with explicit priors for monocular 3D face reconstruction publication-title: IEEE Trans. Multimed. doi: 10.1109/TMM.2020.2994506 – start-page: 142 year: 2020 ident: 10.1016/j.patcog.2022.108783_bib0003 article-title: Personalized face modeling for improved face reconstruction and motion retargeting – volume: 23 start-page: 1160 year: 2020 ident: 10.1016/j.patcog.2022.108783_bib0002 article-title: 3d face reconstruction from a single image assisted by 2d face images in the wild publication-title: IEEE Trans. Multimed. doi: 10.1109/TMM.2020.2993962 – volume: 31 issue: 05 year: 2022 ident: 10.1016/j.patcog.2022.108783_bib0011 article-title: FPGA realization of a reversible data hiding scheme for 5G MIMO-OFDM system by Chaotic Key Generation-Based Paillier Cryptography Along with LDPC and its side channel estimation using machine learning technique publication-title: J. Circ. Syst. Comput. doi: 10.1142/S0218126622500931 – volume: 7 start-page: 165559 year: 2019 ident: 10.1016/j.patcog.2022.108783_bib0031 article-title: 3d face reconstruction from volumes of videos using a mapreduce framework publication-title: IEEE Access doi: 10.1109/ACCESS.2019.2938671 – ident: 10.1016/j.patcog.2022.108783_bib0052 – start-page: 493 year: 2021 ident: 10.1016/j.patcog.2022.108783_bib0006 article-title: Graph structure reasoning network for face alignment and reconstruction – volume: 111 year: 2021 ident: 10.1016/j.patcog.2022.108783_bib0039 article-title: Deep feature augmentation for occluded image classification publication-title: Pattern Recognit. doi: 10.1016/j.patcog.2020.107737 – volume: 120 year: 2021 ident: 10.1016/j.patcog.2022.108783_bib0040 article-title: Sparse semi-supervised heterogeneous interbatterybayesi an analysis publication-title: Pattern Recognit. doi: 10.1016/j.patcog.2021.108141 – volume: 116 year: 2021 ident: 10.1016/j.patcog.2022.108783_bib0034 article-title: 2D Wasserstein loss for robust facial landmark detection publication-title: Pattern Recognit. doi: 10.1016/j.patcog.2021.107945 – volume: 1 start-page: 7 issue: 1 year: 2020 ident: 10.1016/j.patcog.2022.108783_bib0013 article-title: Bald eagle search optimization algorithm for cluster head selection with prolong lifetime in wireless sensor network publication-title: J. Soft Comput. Eng. Appl. – volume: 120 year: 2021 ident: 10.1016/j.patcog.2022.108783_bib0036 article-title: Hierarchical object relationship constrained monocular depth estimation publication-title: Pattern Recognit. doi: 10.1016/j.patcog.2021.108116 – ident: 10.1016/j.patcog.2022.108783_bib0051 – volume: 114 year: 2021 ident: 10.1016/j.patcog.2022.108783_bib0041 article-title: Dual space latent representation learning for unsupervised feature selection publication-title: Pattern Recognit. doi: 10.1016/j.patcog.2021.107873 – volume: 11 start-page: 2349 issue: 6 year: 2020 ident: 10.1016/j.patcog.2022.108783_bib0015 article-title: Image gradient orientations embedded structural error coding for face recognition with occlusion publication-title: J. Ambient Intell. Humaniz. Comput. doi: 10.1007/s12652-019-01257-7 – volume: 7 start-page: 125146 year: 2019 ident: 10.1016/j.patcog.2022.108783_bib0028 article-title: Shortcut-upsampling block for 3D face reconstruction and dense alignment via position map publication-title: IEEE Access doi: 10.1109/ACCESS.2019.2938878 – start-page: 1 year: 2019 ident: 10.1016/j.patcog.2022.108783_bib0044 article-title: Polarimetric thermal to visible face verification via self-attention guided synthesis – ident: 10.1016/j.patcog.2022.108783_bib0054 – volume: 120 year: 2021 ident: 10.1016/j.patcog.2022.108783_bib0038 article-title: Explainable deep learning for efficient and robust pattern recognition: a survey of recent developments publication-title: Pattern Recognit. doi: 10.1016/j.patcog.2021.108102 – volume: 31 start-page: 1611 issue: 7 year: 2020 ident: 10.1016/j.patcog.2022.108783_bib0046 article-title: Data-driven prognostic method based on self-supervised learning approaches for fault detection publication-title: J. Intell. Manuf doi: 10.1007/s10845-018-1431-x – start-page: 641 year: 2020 ident: 10.1016/j.patcog.2022.108783_bib0047 article-title: Face anti-spoofing via disentangled representation learning – volume: 20 start-page: 11909 issue: 20 year: 2019 ident: 10.1016/j.patcog.2022.108783_bib0007 article-title: 3D reconstruction of face image authentication technology in electronic transaction authentication publication-title: IEEE Sens. J. doi: 10.1109/JSEN.2019.2958655 – volume: 113 year: 2021 ident: 10.1016/j.patcog.2022.108783_bib0021 article-title: Reconstruction regularized low-rank subspace learning for cross-modal retrieval publication-title: Pattern Recognit. doi: 10.1016/j.patcog.2020.107813 – volume: 115 year: 2021 ident: 10.1016/j.patcog.2022.108783_bib0022 article-title: Face alignment using two-stage cascaded pose regression and mirror error correction publication-title: Pattern Recognit. doi: 10.1016/j.patcog.2021.107866 – volume: 9 start-page: 10120 year: 2021 ident: 10.1016/j.patcog.2022.108783_bib0029 article-title: Enhanced Iris recognition method by generative adversarial network-based image reconstruction publication-title: IEEE Access doi: 10.1109/ACCESS.2021.3050788 – ident: 10.1016/j.patcog.2022.108783_bib0014 doi: 10.1080/15567036.2021.1986606 – volume: 29 start-page: 7641 year: 2020 ident: 10.1016/j.patcog.2022.108783_bib0010 article-title: Learning symmetry consistent deep CNNS for face completion publication-title: IEEE Trans. Image Process. doi: 10.1109/TIP.2020.3005241 – volume: 29 start-page: 8696 year: 2020 ident: 10.1016/j.patcog.2022.108783_bib0048 article-title: Self-supervised learning of detailed 3d face reconstruction publication-title: IEEE Trans. Image Process. doi: 10.1109/TIP.2020.3017347 – start-page: 1 year: 2021 ident: 10.1016/j.patcog.2022.108783_bib0001 article-title: Three-dimensional face reconstruction of static images and computer standardization issues publication-title: Soft Comput. – volume: 116 year: 2021 ident: 10.1016/j.patcog.2022.108783_bib0037 article-title: Single-Image super-resolution-when model adaptation matters publication-title: Pattern Recognit. doi: 10.1016/j.patcog.2021.107931 – volume: 113 year: 2021 ident: 10.1016/j.patcog.2022.108783_bib0032 article-title: Collaborative representation with curriculum classifier boosting for unsupervised domain adaptation publication-title: Pattern Recognit. doi: 10.1016/j.patcog.2020.107802 – start-page: 4147 year: 2020 ident: 10.1016/j.patcog.2022.108783_bib0009 article-title: May. Accurate 6D object pose estimation by pose conditioned mesh reconstruction – volume: 119 year: 2021 ident: 10.1016/j.patcog.2022.108783_bib0033 article-title: Feature learning and patch matching for diverse image in painting publication-title: Pattern Recognit. doi: 10.1016/j.patcog.2021.108036 – volume: 111 year: 2021 ident: 10.1016/j.patcog.2022.108783_bib0035 article-title: All-in-focus synthetic aperture imaging using generative adversarial network-based semantic in painting publication-title: Pattern Recognit. doi: 10.1016/j.patcog.2020.107669 – volume: 365 start-page: 113 year: 2019 ident: 10.1016/j.patcog.2022.108783_bib0042 article-title: FCN based preprocessing for exemplar-based face sketch synthesis publication-title: Neurocomputing doi: 10.1016/j.neucom.2019.07.008 |
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