{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,7,7]],"date-time":"2024-07-07T12:01:07Z","timestamp":1720353667754},"reference-count":38,"publisher":"Elsevier BV","license":[{"start":{"date-parts":[[2018,4,1]],"date-time":"2018-04-01T00:00:00Z","timestamp":1522540800000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/tdm\/userlicense\/1.0\/"}],"funder":[{"name":"Priority Academic Program Development of Jiangsu Higher Education Institutions (PAPD)"}],"content-domain":{"domain":["elsevier.com","sciencedirect.com"],"crossmark-restriction":true},"short-container-title":["Signal Processing: Image Communication"],"published-print":{"date-parts":[[2018,4]]},"DOI":"10.1016\/j.image.2018.01.008","type":"journal-article","created":{"date-parts":[[2018,2,6]],"date-time":"2018-02-06T23:49:29Z","timestamp":1517960969000},"page":"63-71","update-policy":"http:\/\/dx.doi.org\/10.1016\/elsevier_cm_policy","source":"Crossref","is-referenced-by-count":5,"special_numbering":"C","title":["Eye landmarks detection via two-level cascaded CNNs with multi-task learning"],"prefix":"10.1016","volume":"63","author":[{"given":"Bin","family":"Huang","sequence":"first","affiliation":[]},{"given":"Renwen","family":"Chen","sequence":"additional","affiliation":[]},{"given":"Qinbang","family":"Zhou","sequence":"additional","affiliation":[]},{"given":"Xiaoqing","family":"Yu","sequence":"additional","affiliation":[]}],"member":"78","reference":[{"key":"10.1016\/j.image.2018.01.008_b1","series-title":"Robust Real-Time Face Detection","first-page":"137","author":"Viola","year":"2004"},{"key":"10.1016\/j.image.2018.01.008_b2","series-title":"Specialised Hough Transform and Active Contour Methods for Real-Time Eye Tracking","author":"Young","year":"1995"},{"issue":"2","key":"10.1016\/j.image.2018.01.008_b3","doi-asserted-by":"crossref","first-page":"99","DOI":"10.1007\/BF00127169","article-title":"Feature extraction from faces using deformable templates","volume":"8","author":"Yuille","year":"1992","journal-title":"Int. J. Comput. Vis."},{"issue":"9","key":"10.1016\/j.image.2018.01.008_b4","doi-asserted-by":"crossref","first-page":"899","DOI":"10.1016\/S0167-8655(98)00065-8","article-title":"Variance projection function and its application to eye detection for human face recognition","volume":"19","author":"Feng","year":"1998","journal-title":"Pattern Recognit. Lett."},{"issue":"5","key":"10.1016\/j.image.2018.01.008_b5","doi-asserted-by":"crossref","first-page":"1033","DOI":"10.1016\/S0031-3203(00)00042-X","article-title":"Multi-cues eye detection on gray intensity image","volume":"34","author":"Guo","year":"2001","journal-title":"Pattern Recognit."},{"key":"10.1016\/j.image.2018.01.008_b6","doi-asserted-by":"crossref","unstructured":"H. Qin, J. Yan, X. Li, et al., Joint training of cascaded CNNs for face detection, in: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2016, pp. 3456\u20133465.","DOI":"10.1109\/CVPR.2016.376"},{"key":"10.1016\/j.image.2018.01.008_b7","doi-asserted-by":"crossref","unstructured":"Y. Sun, X. Wang, X. Tang, Deep convolutional network cascade for facial point detection, in: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2013, pp. 3476\u20133483.","DOI":"10.1109\/CVPR.2013.446"},{"key":"10.1016\/j.image.2018.01.008_b8","article-title":"Fast R-CNNs","author":"Girshick","year":"2015","journal-title":"Comput. Sci."},{"issue":"99","key":"10.1016\/j.image.2018.01.008_b9","first-page":"1","article-title":"DeepLab: Semantic image segmentation with deep convolutional nets, atrous convolution, and fully connected CRFs","volume":"PP","author":"Chen","year":"2017","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."},{"key":"10.1016\/j.image.2018.01.008_b10","doi-asserted-by":"crossref","unstructured":"K. Krafka, et al., Eye tracking for everyone, 2016.","DOI":"10.1109\/CVPR.2016.239"},{"issue":"2","key":"10.1016\/j.image.2018.01.008_b11","doi-asserted-by":"crossref","first-page":"279","DOI":"10.1016\/S0031-3203(02)00030-4","article-title":"The importance of being random: statistical principles of iris recognition","volume":"36","author":"Daugman","year":"2003","journal-title":"Pattern Recognit."},{"issue":"5","key":"10.1016\/j.image.2018.01.008_b12","doi-asserted-by":"crossref","first-page":"771","DOI":"10.1016\/0031-3203(95)00119-0","article-title":"Locating and extracting the eye in human face images","volume":"29","author":"Lam","year":"1996","journal-title":"Pattern Recognit."},{"key":"10.1016\/j.image.2018.01.008_b13","unstructured":"M.J.T. Reinders, R.W.C. Koch, J.J. Gerbrands, Locating facial features in image sequences using neural networks, 1996, pp. 230\u2013235."},{"key":"10.1016\/j.image.2018.01.008_b14","unstructured":"S. Kawato, J. Ohya, Two-step approach for real-time eye tracking with a new filtering technique, vol. 2, 2000, pp. 1366\u20131371."},{"key":"10.1016\/j.image.2018.01.008_b15","series-title":"Coarse-to-fine Auto-Encoder Networks (CFAN) for Real-Time Face Alignment","first-page":"1","author":"Zhang","year":"2014"},{"key":"10.1016\/j.image.2018.01.008_b16","series-title":"European Conference on Computer Vision","first-page":"109","article-title":"Joint cascade face detection and alignment","author":"Chen","year":"2014"},{"key":"10.1016\/j.image.2018.01.008_b17","doi-asserted-by":"crossref","unstructured":"X. Sun, et al., Cascaded hand pose regression, 2015, pp. 824\u2013832.","DOI":"10.1109\/CVPR.2015.7298683"},{"issue":"2","key":"10.1016\/j.image.2018.01.008_b18","doi-asserted-by":"crossref","first-page":"367","DOI":"10.1007\/s11263-012-0582-z","article-title":"Robust visual tracking via structured multi-task sparse learning","volume":"101","author":"Zhang","year":"2013","journal-title":"Int. J. Comput. Vis."},{"issue":"10","key":"10.1016\/j.image.2018.01.008_b19","doi-asserted-by":"crossref","first-page":"4349","DOI":"10.1109\/TIP.2012.2205006","article-title":"Visual classification with multitask joint sparse representation","volume":"21","author":"Yuan","year":"2012","journal-title":"IEEE Trans. Image Process."},{"key":"10.1016\/j.image.2018.01.008_b20","doi-asserted-by":"crossref","unstructured":"Z. Zhang, et al., Facial landmark detection by deep multi-task learning, 2014, pp. 94\u2013108.","DOI":"10.1007\/978-3-319-10599-4_7"},{"key":"10.1016\/j.image.2018.01.008_b21","doi-asserted-by":"crossref","unstructured":"C.D. McMurrough, et al., An eye tracking dataset for point of gaze detection, in: ETRA \u201912, New York, NY, USA, 2012, pp. 305\u2013308.","DOI":"10.1145\/2168556.2168622"},{"key":"10.1016\/j.image.2018.01.008_b22","doi-asserted-by":"crossref","unstructured":"B.A. Smith, Q. Yin, S.K. Feiner, S.K. Nayar, Gaze locking: Passive eye contact detection for human-object interaction, in: UIST, 2013.","DOI":"10.1145\/2501988.2501994"},{"key":"10.1016\/j.image.2018.01.008_b23","doi-asserted-by":"crossref","unstructured":"K.A. Funes\u00a0Mora, F. Monay, J. Odobez, EYEDIAP: A database for the development and evaluation of gaze estimation algorithms from RGB and RGB-D cameras, in: ETRA \u201914, New York, NY, USA, 2014, pp. 255\u2013258.","DOI":"10.1145\/2578153.2578190"},{"key":"10.1016\/j.image.2018.01.008_b24","unstructured":"Q. Huang, A. Veeraraghavan, A. Sabharwal, TabletGaze: unconstrained appearance-based gaze estimation in mobile tablets, 2015. arXiv preprint arXiv:1508.01244."},{"key":"10.1016\/j.image.2018.01.008_b25","doi-asserted-by":"crossref","unstructured":"H. Li, et al., A convolutional neural network cascade for face detection, 2015.","DOI":"10.1109\/CVPR.2015.7299170"},{"key":"10.1016\/j.image.2018.01.008_b26","doi-asserted-by":"crossref","unstructured":"S. Ren, et al., Face alignment at 3000 FPS via regressing local binary features, 2014.","DOI":"10.1109\/CVPR.2014.218"},{"issue":"1","key":"10.1016\/j.image.2018.01.008_b27","doi-asserted-by":"crossref","first-page":"7","DOI":"10.1023\/A:1007327622663","article-title":"A Bayesian\/information theoretic model of learning to learn via multiple task sampling","volume":"28","author":"Baxter","year":"1997","journal-title":"Mach. Learn."},{"key":"10.1016\/j.image.2018.01.008_b28","series-title":"UBIRIS: A Noisy Iris ImageDatabase","first-page":"970","volume":"vol. 3617","author":"Proenca","year":"2005"},{"key":"10.1016\/j.image.2018.01.008_b29","unstructured":"Multimedia university iris database [online], Available: http:\/\/pesona.mmu.edu.my\/ccteo\/."},{"issue":"Suppl. C","key":"10.1016\/j.image.2018.01.008_b30","doi-asserted-by":"crossref","first-page":"17","DOI":"10.1016\/j.patrec.2015.02.009","article-title":"Mobile Iris Challenge Evaluation (MICHE)-I, biometric iris dataset and protocols","volume":"57","author":"De\u00a0Marsico","year":"2015","journal-title":"Pattern Recognit. Lett."},{"issue":"1","key":"10.1016\/j.image.2018.01.008_b31","first-page":"1929","article-title":"Dropout: a simple way to prevent neural networks from overfitting","volume":"15","author":"Srivastava","year":"2014","journal-title":"J. Mach. Learn. Res."},{"issue":"11","key":"10.1016\/j.image.2018.01.008_b32","doi-asserted-by":"crossref","first-page":"1148","DOI":"10.1109\/34.244676","article-title":"High confidence visual recognition of persons by a test of statistical independence","volume":"15","author":"Daugman","year":"1993","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."},{"issue":"1","key":"10.1016\/j.image.2018.01.008_b33","doi-asserted-by":"crossref","first-page":"42","DOI":"10.1049\/iet-ipr.2012.0452","article-title":"Fast and reliable iris segmentation algorithm","volume":"7","author":"Radman","year":"2013","journal-title":"IET Image Process."},{"key":"10.1016\/j.image.2018.01.008_b34","doi-asserted-by":"crossref","unstructured":"A.T. Hashim, D.A. Noori, An approach of noisy color iris segmentation based on hybrid image processing techniques, 2016, pp. 183\u2013188.","DOI":"10.1109\/CW.2016.39"},{"issue":"Suppl. C","key":"10.1016\/j.image.2018.01.008_b35","doi-asserted-by":"crossref","first-page":"166","DOI":"10.1016\/j.compeleceng.2016.11.031","article-title":"Non-circular iris contours localization in the visible wavelength eye images","volume":"62","author":"Jan","year":"2017","journal-title":"Comput. Electr. Eng."},{"key":"10.1016\/j.image.2018.01.008_b36","doi-asserted-by":"crossref","unstructured":"S. Umer, B.C. Dhara, A fast iris localization using inversion transform and restricted circular Hough transform, 2015, pp. 1\u20136.","DOI":"10.1109\/ICAPR.2015.7050667"},{"issue":"8","key":"10.1016\/j.image.2018.01.008_b37","doi-asserted-by":"crossref","first-page":"215","DOI":"10.1016\/j.compeleceng.2014.05.004","article-title":"A dynamic non-circular iris localization technique for non-ideal data","volume":"40","author":"Jan","year":"2014","journal-title":"Comput. Electr. Eng."},{"key":"10.1016\/j.image.2018.01.008_b38","doi-asserted-by":"crossref","unstructured":"V. Kumar, A. Asati, A. Gupta, Iris localization based on integro-differential operator for unconstrained infrared iris images, 2015, pp. 277\u2013281.","DOI":"10.1109\/ISPCC.2015.7375040"}],"container-title":["Signal Processing: Image Communication"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S0923596518300754?httpAccept=text\/xml","content-type":"text\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S0923596518300754?httpAccept=text\/plain","content-type":"text\/plain","content-version":"vor","intended-application":"text-mining"}],"deposited":{"date-parts":[[2022,8,14]],"date-time":"2022-08-14T00:12:58Z","timestamp":1660435978000},"score":1,"resource":{"primary":{"URL":"https:\/\/linkinghub.elsevier.com\/retrieve\/pii\/S0923596518300754"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2018,4]]},"references-count":38,"alternative-id":["S0923596518300754"],"URL":"https:\/\/doi.org\/10.1016\/j.image.2018.01.008","relation":{},"ISSN":["0923-5965"],"issn-type":[{"value":"0923-5965","type":"print"}],"subject":[],"published":{"date-parts":[[2018,4]]},"assertion":[{"value":"Elsevier","name":"publisher","label":"This article is maintained by"},{"value":"Eye landmarks detection via two-level cascaded CNNs with multi-task learning","name":"articletitle","label":"Article Title"},{"value":"Signal Processing: Image Communication","name":"journaltitle","label":"Journal Title"},{"value":"https:\/\/doi.org\/10.1016\/j.image.2018.01.008","name":"articlelink","label":"CrossRef DOI link to publisher maintained version"},{"value":"article","name":"content_type","label":"Content Type"},{"value":"\u00a9 2018 Elsevier B.V. All rights reserved.","name":"copyright","label":"Copyright"}]}}