{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,17]],"date-time":"2025-10-17T14:11:19Z","timestamp":1760710279783,"version":"3.37.3"},"reference-count":55,"publisher":"Springer Science and Business Media LLC","issue":"31-32","license":[{"start":{"date-parts":[[2020,6,11]],"date-time":"2020-06-11T00:00:00Z","timestamp":1591833600000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"},{"start":{"date-parts":[[2020,6,11]],"date-time":"2020-06-11T00:00:00Z","timestamp":1591833600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Multimed Tools Appl"],"published-print":{"date-parts":[[2020,8]]},"DOI":"10.1007\/s11042-020-09076-1","type":"journal-article","created":{"date-parts":[[2020,6,11]],"date-time":"2020-06-11T21:02:33Z","timestamp":1591909353000},"page":"23571-23598","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":12,"title":["A new approach for small sample face recognition with pose variation by fusing Gabor encoding features and deep features"],"prefix":"10.1007","volume":"79","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-8023-0142","authenticated-orcid":false,"given":"Guofeng","family":"Zou","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Guixia","family":"Fu","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Mingliang","family":"Gao","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jinfeng","family":"Pan","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Zheng","family":"Liu","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2020,6,11]]},"reference":[{"issue":"12","key":"9076_CR1","doi-asserted-by":"crossref","first-page":"2037","DOI":"10.1109\/TPAMI.2006.244","volume":"28","author":"T Ahonen","year":"2006","unstructured":"Ahonen T, Hadid A, Pietikainen M (2006) Face description with local binary patterns: application to face recognition. IEEE Trans. Pattern Anal. Mach. Intell 28(12):2037\u20132041","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell"},{"issue":"3","key":"9076_CR2","first-page":"320","volume":"33","author":"Y Bao-cai","year":"2007","unstructured":"Bao-cai Y, Zhuang Z, Yan-feng S, Cheng-zhang W (2007) Pose variant face recognition based on 3D Morphable model. J Beijing Univ Techn 33(3):320\u2013325","journal-title":"J Beijing Univ Techn"},{"key":"9076_CR3","doi-asserted-by":"crossref","unstructured":"Bengio Y, Lamblin P, Popovici D et al (2007) Greedy layer-wise training of deep networks. Adv Neural Inf Proces Syst:153\u2013160","DOI":"10.7551\/mitpress\/7503.003.0024"},{"issue":"6","key":"9076_CR4","doi-asserted-by":"crossref","first-page":"2791","DOI":"10.1109\/TIP.2018.2809040","volume":"27","author":"O Beom-Seok","year":"2018","unstructured":"Beom-Seok O, Toh K-A, Teoh ABJ et al (2018) An analytic Gabor feed forward network for single-sample and pose-invariant face recognition. IEEE Trans Image Process 27(6):2791\u20132805","journal-title":"IEEE Trans Image Process"},{"key":"9076_CR5","unstructured":"Cao B, Wang N, Li J et al (2018) Data augmentation-based joint learning for heterogeneous face recognition. IEEE Trans Neural Networks Learning Syst:1\u201313"},{"key":"9076_CR6","doi-asserted-by":"crossref","unstructured":"Ye Changiming, Jiang Jianguo, Zhan Shu, et al. 3D Facial Depth Map Recognition in Different Poses with Surface Contour Feature. PR & AI, 2013,26(2):219\u2013224","DOI":"10.3724\/SP.J.1187.2012.00138"},{"issue":"12","key":"9076_CR7","first-page":"1498","volume":"15","author":"D Cheng","year":"2004","unstructured":"Cheng D, GuangDa S, Gang LX et al (2004) Synthesis of Face Image with Pose Variations. Journal of Optoelectronics\u00b7Laser 15(12):1498\u20131451","journal-title":"Journal of Optoelectronics\u00b7Laser"},{"key":"9076_CR8","doi-asserted-by":"crossref","unstructured":"Choe J, Park S, Kim K et al (2017) Face Generation for Low-Shot Learning Using Generative Adversarial Networks. IEEE Int Conf Computer Vision (ICCV):1940\u20131948","DOI":"10.1109\/ICCVW.2017.229"},{"issue":"7","key":"9076_CR9","doi-asserted-by":"crossref","first-page":"1160","DOI":"10.1364\/JOSAA.2.001160","volume":"2","author":"J Daugman","year":"1985","unstructured":"Daugman J (1985) Uncertainty relation for resolution in space, spatial, frequency, and orientation optimized by two-dimensional visual cortical filters. J Opt Soc Am 2(7):1160\u20131169","journal-title":"J Opt Soc Am"},{"issue":"1","key":"9076_CR10","doi-asserted-by":"crossref","first-page":"149","DOI":"10.1109\/TSMCA.2012.2192427","volume":"43","author":"M De Marsico","year":"2013","unstructured":"De Marsico M, Nappi M, Riccio D et al (2013) Robust face recognition for uncontrolled pose and illumination changes. IEEE Trans Syst Man, Cybernetics: Syst 43(1):149\u2013163","journal-title":"IEEE Trans Syst Man, Cybernetics: Syst"},{"key":"9076_CR11","doi-asserted-by":"crossref","unstructured":"Fan Deng-Ping, Zhang Shengchuan, Wu Yu-Huan et al. Scoot: A Perceptual Metric for Facial Sketches. 2019 IEEE Int Conference on Computer Vision(ICCV2019),2019:1\u201311.","DOI":"10.1109\/ICCV.2019.00571"},{"issue":"11","key":"9076_CR12","doi-asserted-by":"crossref","first-page":"2049","DOI":"10.1109\/TMM.2015.2477042","volume":"17","author":"C Ding","year":"2015","unstructured":"Ding C, Tao D (2015) Robust face recognition via multimodal deep face representation. IEEE Trans Multimedia 17(11):2049\u20132058","journal-title":"IEEE Trans Multimedia"},{"issue":"7","key":"9076_CR13","first-page":"613","volume":"28","author":"Z GuoFeng","year":"2015","unstructured":"GuoFeng Z, GuiXia F, HaiTao L et al (2015) A survey of multi-pose face recognition. PR&AI 28(7):613\u2013625","journal-title":"PR&AI"},{"issue":"4","key":"9076_CR14","first-page":"98","volume":"40","author":"ZOU Guo-feng","year":"2017","unstructured":"Guo-feng ZOU, Gui-xia FU, Ke-jun WANG, Ming-liang GAO, Jin SHEN (2017) Construction method of adaptive deep convolutional neural network model. J Beijing Univ Posts Telecomm 40(4):98\u2013103","journal-title":"J Beijing Univ Posts Telecomm"},{"issue":"7","key":"9076_CR15","first-page":"1254","volume":"12","author":"C Huajie","year":"2007","unstructured":"Huajie C, Wei W (2007) Multi pose face recognition based on correlative sub region mapping. Journal of Image and Graphics 12(7):1254\u20131260","journal-title":"Journal of Image and Graphics"},{"issue":"6","key":"9076_CR16","first-page":"1093","volume":"38","author":"H KaiQi","year":"2015","unstructured":"KaiQi H, XiaoTang C, YunFeng K et al (2015) Intelligent Visual Surveillance: A Review. Chinese Journal Of Computer 38(6):1093\u20131115","journal-title":"Chinese Journal Of Computer"},{"issue":"1","key":"9076_CR17","first-page":"50","volume":"26","author":"W Ke-Jun","year":"2013","unstructured":"Ke-Jun W, Guo-Feng Z (2013) A Sub-Pattern Gabor Features Fusion Method for Single Sample Face Recognition. Pattern Recog Artificial Intelligent 26(1):50\u201356","journal-title":"Pattern Recog Artificial Intelligent"},{"issue":"11","key":"9076_CR18","doi-asserted-by":"crossref","first-page":"2278","DOI":"10.1109\/5.726791","volume":"86","author":"Y LeCun","year":"1998","unstructured":"LeCun Y, Bottou L, Bengio Y et al (1998) Gradient-based learning applied to document recognition. Proc IEEE 86(11):2278\u20132324","journal-title":"Proc IEEE"},{"key":"9076_CR19","doi-asserted-by":"crossref","first-page":"10","DOI":"10.1016\/j.neucom.2016.12.013","volume":"235","author":"B Leng","year":"2017","unstructured":"Leng B, Yu K, Qin J (2017) Data augmentation for unbalanced face recognition training sets. Neurocomputing 235:10\u201314","journal-title":"Neurocomputing"},{"key":"9076_CR20","doi-asserted-by":"crossref","first-page":"1197","DOI":"10.1007\/s11063-017-9693-4","volume":"47","author":"L Li","year":"2018","unstructured":"Li L, Ge H, Tong Y, Zhang Y (2018) Face recognition using Gabor-based feature extraction and feature space transformation fusion method for single image per person problem. Neural Process Letter 47:1197\u20131217","journal-title":"Neural Process Letter"},{"issue":"6","key":"9076_CR21","first-page":"154","volume":"35","author":"SF Lian","year":"2014","unstructured":"Lian SF, Liu YH, Li LC (2014) Face recognition under unconstrained based on LBP and deep learning. J Commun 35(6):154\u2013160","journal-title":"J Commun"},{"key":"9076_CR22","unstructured":"W Q Liang, G G Wang, J H Lai, et al. M2M-GAN: Many-to-Many Generative Adversarial Transfer Learning for Person Re-Identification.2018. https:\/\/arxiv.org\/abs\/1811.03768."},{"key":"9076_CR23","doi-asserted-by":"crossref","unstructured":"Z. X. Lin, W. J. Yang, C. C. Ho et al. Fast Vertical-Pose- Invariant Face Recognition Module for Intelligent Robot Guard. The 4th International Conference on Autonomous Robots and Agents, 2009:613\u2013617.","DOI":"10.1109\/ICARA.2000.4803941"},{"key":"9076_CR24","doi-asserted-by":"crossref","unstructured":"Ziwei Liu,Ping Luo,Xiaogang Wang, et al. Deep Learning Face Attributes in the Wild, 2015 IEEE International Conference on Computer Vision: 3730\u20133738","DOI":"10.1109\/ICCV.2015.425"},{"key":"9076_CR25","unstructured":"J. Liu, Y. Deng, C. Huang, Targeting Ultimate Accuracy: Face Recognition via Deep Embedding, arXiv preprint arxiv:hepth\/1506.07310."},{"key":"9076_CR26","first-page":"1150","volume":"2","author":"DG Lowe","year":"1999","unstructured":"Lowe DG (1999) Object recognition from local scale-invariant features, in: proceedings of the IEEE international conference on computer vision. Vol. 2:1150\u20131157","journal-title":"Vol."},{"issue":"9","key":"9076_CR27","doi-asserted-by":"crossref","first-page":"4357","DOI":"10.1109\/TIP.2018.2835143","volume":"27","author":"S Luan","year":"2018","unstructured":"Luan S, Chen C, Zhang B et al (2018) Gabor convolutional networks. IEEE Trans Image Process 27(9):4357\u20134366","journal-title":"IEEE Trans Image Process"},{"key":"9076_CR28","doi-asserted-by":"crossref","first-page":"184","DOI":"10.1016\/j.neucom.2016.12.025","volume":"230","author":"J-J Lv","year":"2017","unstructured":"Lv J-J, Shao X-H, Huang J-S et al (2017) Data augmentation for face recognition. Neurocomputing 230:184\u2013196","journal-title":"Neurocomputing"},{"key":"9076_CR29","doi-asserted-by":"crossref","unstructured":"J M Lv, W H Chen, Q Li, et al. Unsupervised Cross-dataset Person Re-identification by Transfer Learning of Spatial-Temporal Patterns. In 2018 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2018: 7948\u20137956.","DOI":"10.1109\/CVPR.2018.00829"},{"key":"9076_CR30","doi-asserted-by":"crossref","unstructured":"Iacopo Masi, Stephen Rawls, G\u00e9rard Medioni, Prem Natarajan. Pose-Aware Face Recognition in the Wild, 2016 .IEEE Int Conf Comp VisionPattern Recog:4838\u20134846","DOI":"10.1109\/CVPR.2016.523"},{"issue":"2","key":"9076_CR31","doi-asserted-by":"crossref","first-page":"379","DOI":"10.1109\/TPAMI.2018.2792452","volume":"41","author":"I Masi","year":"2019","unstructured":"Masi I, Chang F-J, Choi J et al (2019) Learning pose-aware models for pose-invariant face recognition in the wild. EEE Trans Pattern Anal Mach Intel 41(2):379\u2013393","journal-title":"EEE Trans Pattern Anal Mach Intel"},{"issue":"17","key":"9076_CR32","doi-asserted-by":"crossref","first-page":"4995","DOI":"10.1007\/s00500-016-2095-0","volume":"21","author":"H-M Moon","year":"2017","unstructured":"Moon H-M, Seo CH, Pan SB (2017) A face recognition system based on convolution neural network using multiple distance face. Soft Comput 21(17):4995\u20135002","journal-title":"Soft Comput"},{"key":"9076_CR33","unstructured":"Ng A. Sparse autoencoder . CS294A Lecture notes, 2011, 72(2011): 1\u201319."},{"key":"9076_CR34","unstructured":"Guang Yu Nie, Ming Ming Cheng, Yun Liu, et al. Multi-Level Context Ultra-Aggregation for Stereo Matching. 2019 IEEE International Conference on Computer Vision and Pattern Recognition (CVPR 2019)2019:3283\u20133291."},{"issue":"4\/5","key":"9076_CR35","first-page":"451","volume":"11","author":"P Nikolay","year":"1995","unstructured":"Nikolay P (1995) Biologically motivated computationally intensive approaches to image pattern recognition. Futur Gener Comput Syst 11(4\/5):451\u2013465","journal-title":"Futur Gener Comput Syst"},{"issue":"4\/5","key":"9076_CR36","first-page":"451","volume":"11","author":"P Nikolay","year":"1995","unstructured":"Nikolay P (1995) Biologically motivated computationally intensive approaches to image pattern recognition. Futur Gener Comput Syst 11(4\/5):451\u2013465","journal-title":"Futur Gener Comput Syst"},{"key":"9076_CR37","doi-asserted-by":"crossref","unstructured":"Yongri Piao, Wei Ji, Jingjing Li, et al. Depth-induced Multi-scale Recurrent Attention Network for Saliency Detection. 2019 IEEE International Conference on Computer Vision(ICCV2019),2019:7254\u20137263.","DOI":"10.1109\/ICCV.2019.00735"},{"key":"9076_CR38","unstructured":"Hongwei Qin, Junjie Yan, Xiu Li, et al. Joint Training of Cascaded CNN for Face Detection. 2016 IEEE International Conference on Computer Vision and Pattern Recognition:3456\u20133465."},{"key":"9076_CR39","doi-asserted-by":"crossref","first-page":"1095","DOI":"10.1016\/j.cviu.2012.08.001","volume":"116","author":"A Sharma","year":"2012","unstructured":"Sharma A, Al Haj M, Choi J et al (2012) Robust pose invariant face recognition using coupled latent space discriminant analysis. Comput Vis Image Underst 116:1095\u20131110","journal-title":"Comput Vis Image Underst"},{"key":"9076_CR40","doi-asserted-by":"crossref","unstructured":"Y Sun, X Wang, X Tang. Hybrid deep learning for face verification. Proc. IEEE Int Conference Comp Vision (ICCV 2013), 2013:1489\u20131496.","DOI":"10.1109\/ICCV.2013.188"},{"key":"9076_CR41","doi-asserted-by":"crossref","unstructured":"Y. Taigman, M. Yang, M. Ranzato, L. Wolf, Deepface: closing the gap to humanlevel performance in face verification, in: proceedings of the IEEE conference on computer vision and pattern recognition, 2014, pp. 1701\u20131708.","DOI":"10.1109\/CVPR.2014.220"},{"issue":"6","key":"9076_CR42","first-page":"865","volume":"25","author":"KJ Wang","year":"2013","unstructured":"Wang KJ, GuoFeng Z, GuiXia F et al (2013) An approach to fast eye location and face plane rotation correction. Journal of Computer-Aided Design &Computer Graphics 25(6):865\u2013872","journal-title":"Journal of Computer-Aided Design &Computer Graphics"},{"key":"9076_CR43","doi-asserted-by":"crossref","unstructured":"Xi M, Liang C, Polajnar D, Tong W (2016) Local binary pattern network: A deep learning approach for face recognition. 2016 IEEE International Conference on Image Processing (ICIP):3224\u20133228","DOI":"10.1109\/ICIP.2016.7532955"},{"issue":"8","key":"9076_CR44","first-page":"2519","volume":"33","author":"C Xiao","year":"2016","unstructured":"Xiao C, Ze L, Wang YL et al (2016) Face Recogniton with pose variation based on fusion of multi-scale MRF and SCT. Application Research of Computers 33(8):2519\u20132523","journal-title":"Application Research of Computers"},{"issue":"2","key":"9076_CR45","first-page":"463","volume":"35","author":"Z Z-h H Xiao-hong","year":"2013","unstructured":"Xiao-hong Z Z-h H (2013) Linear locality preserving and discriminating projection for face recognition. J Elec Info Techn 35(2):463\u2013467","journal-title":"J Elec Info Techn"},{"issue":"7","key":"9076_CR46","doi-asserted-by":"crossref","first-page":"1716","DOI":"10.1109\/TIP.2007.899195","volume":"16","author":"C Xiu-Juan","year":"2007","unstructured":"Xiu-Juan C, Shi-Guang S, Xi-Lin C et al (2007) Local linear regression for pose invariant face recognition. IEEE Trans on Image Process 16(7):1716\u20131725","journal-title":"IEEE Trans on Image Process"},{"issue":"2","key":"9076_CR47","doi-asserted-by":"crossref","first-page":"964","DOI":"10.1109\/TIP.2017.2765830","volume":"27","author":"X Yin","year":"2018","unstructured":"Yin X, Liu X (2018) Multi-task convolutional neural network for pose-invariant face recognition. IEEE Trans Image Process 27(2):964\u2013975","journal-title":"IEEE Trans Image Process"},{"key":"9076_CR48","doi-asserted-by":"crossref","unstructured":"Xi Yin, Xiang Yu, Kihyuk Sohn, et al. Feature Transfer Learning for Deep Face Recognition with Long-Tail Data. In Proceeding of IEEE Computer Vision and Pattern Recognition (CVPR 2019), Long Beach, CA, Jun. 2019. arXiv:1803.09014.","DOI":"10.1109\/CVPR.2019.00585"},{"issue":"2","key":"9076_CR49","doi-asserted-by":"crossref","first-page":"946","DOI":"10.1016\/j.ijleo.2015.10.179","volume":"127","author":"C Yong","year":"2016","unstructured":"Yong C, Ting ting H, Hua lin L et al (2016) Multi-pose face ensemble classification aided by Gabor features and deep belief nets. Optik 127(2):946\u2013954","journal-title":"Optik"},{"key":"9076_CR50","doi-asserted-by":"crossref","first-page":"1107","DOI":"10.1007\/s11071-019-05252-7","volume":"98","author":"ZC Zhang","year":"2019","unstructured":"Zhang ZC, Hong WC (2019) Electric load forecasting by complete ensemble empirical model decomposition adaptive noise and support vector regression with quantum-based dragonfly algorithm. Nonlinear Dynamics 98:1107\u20131136","journal-title":"Nonlinear Dynamics"},{"key":"9076_CR51","doi-asserted-by":"crossref","first-page":"530","DOI":"10.1016\/j.patrec.2011.12.006","volume":"33","author":"Y-N Zhang","year":"2012","unstructured":"Zhang Y-N, Guo Z, Xia Y et al (2012) 2D representation of facial surfaces for multi-pose 3D face recognition. Pattern Recogn Lett 33:530\u2013536","journal-title":"Pattern Recogn Lett"},{"key":"9076_CR52","doi-asserted-by":"crossref","first-page":"1290","DOI":"10.1016\/j.patcog.2011.09.009","volume":"45","author":"H Zhang","year":"2012","unstructured":"Zhang H, Nasrabadi NM, Zhang Y et al (2012) Joint dynamic sparse representation for multi-view face recognition. Pattern Recogn 45:1290\u20131298","journal-title":"Pattern Recogn"},{"issue":"2","key":"9076_CR53","doi-asserted-by":"crossref","first-page":"389","DOI":"10.1007\/s11063-015-9420-y","volume":"43","author":"Y Zhang","year":"2016","unstructured":"Zhang Y, Zhao D, Sun J, Zou G, Li W (2016) Adaptive convolutional neural network and its application in face recognition. Neural Process Lett 43(2):389\u2013399","journal-title":"Neural Process Lett"},{"key":"9076_CR54","doi-asserted-by":"crossref","unstructured":"Zhao J, Yu C, Xu Y et al (2018) Towards Pose Invariant Face Recognition in the Wild. IEEE Conf Comp Vision Pattern Recogn (CVPR):2207\u20132216","DOI":"10.1109\/CVPR.2018.00235"},{"issue":"6","key":"9076_CR55","doi-asserted-by":"crossref","first-page":"6969","DOI":"10.1007\/s11042-018-6449-8","volume":"78","author":"G-f Zou","year":"2019","unstructured":"Zou G-f, Gui-xia F, Gao M-l et al (2019) A novel construction method of convolutional neural network model based on data-driven. Multimed Tools Appl 78(6):6969\u20136987","journal-title":"Multimed Tools Appl"}],"container-title":["Multimedia Tools and Applications"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s11042-020-09076-1.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s11042-020-09076-1\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s11042-020-09076-1.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,10,2]],"date-time":"2023-10-02T08:14:05Z","timestamp":1696234445000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s11042-020-09076-1"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020,6,11]]},"references-count":55,"journal-issue":{"issue":"31-32","published-print":{"date-parts":[[2020,8]]}},"alternative-id":["9076"],"URL":"https:\/\/doi.org\/10.1007\/s11042-020-09076-1","relation":{},"ISSN":["1380-7501","1573-7721"],"issn-type":[{"type":"print","value":"1380-7501"},{"type":"electronic","value":"1573-7721"}],"subject":[],"published":{"date-parts":[[2020,6,11]]},"assertion":[{"value":"5 July 2019","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"2 April 2020","order":2,"name":"revised","label":"Revised","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"15 May 2020","order":3,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"11 June 2020","order":4,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}},{"order":1,"name":"Ethics","group":{"name":"EthicsHeading","label":"Compliance with ethical standards"}},{"value":"The authors declare no conflict of interest.","order":2,"name":"Ethics","group":{"name":"EthicsHeading","label":"Conflict of interest"}}]}}