{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,11,1]],"date-time":"2025-11-01T14:45:07Z","timestamp":1762008307427,"version":"build-2065373602"},"reference-count":54,"publisher":"IEEE","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2018,9]]},"DOI":"10.1109\/mlsp.2018.8516966","type":"proceedings-article","created":{"date-parts":[[2018,11,16]],"date-time":"2018-11-16T05:32:18Z","timestamp":1542346338000},"page":"1-6","source":"Crossref","is-referenced-by-count":15,"title":["LIGHT FIELD BASED FACE RECOGNITION VIA A FUSED DEEP REPRESENTATION"],"prefix":"10.1109","author":[{"given":"Alireza","family":"Sepas-Moghaddam","sequence":"first","affiliation":[]},{"given":"Paulo Lobato","family":"Correia","sequence":"additional","affiliation":[]},{"given":"Kamal","family":"Nasrollahi","sequence":"additional","affiliation":[]},{"given":"Thomas B.","family":"Moeslund","sequence":"additional","affiliation":[]},{"given":"Fernando","family":"Pereira","sequence":"additional","affiliation":[]}],"member":"263","reference":[{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1016\/j.infrared.2016.05.011"},{"key":"ref38","first-page":"2016","article-title":"RGB-D face recognition via learning-based reconstruction","author":"chowdhury","year":"0"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1109\/ICPR.2014.302"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1109\/ICIP.2014.7025059"},{"key":"ref31","first-page":"2003","article-title":"Information fusion in biometrics","volume":"24","author":"ross","year":"0","journal-title":"Pattern Recognition Letters"},{"key":"ref30","doi-asserted-by":"crossref","first-page":"1105","DOI":"10.1109\/TIP.2014.2300812","article-title":"Robust face recognition from multi-view videos","volume":"23","author":"du","year":"2014","journal-title":"IEEE Transactions on Image Processing"},{"key":"ref37","article-title":"A comparative analysis of deep and shallow features for multimodal face recognition in a novel dataset","author":"freitas","year":"2016","journal-title":"International Symposium on Visual Computing"},{"key":"ref36","article-title":"Accurate and robust face recognition from RGB-D images with a deep learning","author":"lee","year":"2016","journal-title":"British Machine Vision Conference"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1049\/iet-bmt.2015.0057"},{"key":"ref34","article-title":"Pose and illumination invariant face recognition using binocular stereo 3D reconstructio","author":"nigam","year":"2015","journal-title":"Computer Vision Pattern Recognition Image Processing and Graphics"},{"key":"ref28","article-title":"Feature learning for RGB-D data","author":"cai","year":"2017","journal-title":"PhD thesis"},{"key":"ref27","article-title":"3D face recognition under unconstrained settings using low-cost sensors","author":"freitas","year":"2017","journal-title":"MSc Thesis"},{"key":"ref29","doi-asserted-by":"crossref","first-page":"93","DOI":"10.1016\/j.neucom.2016.06.012","article-title":"Robust RGB-D face recognition using Kinect sensor","volume":"214","author":"lee","year":"2016","journal-title":"Neurocomputing"},{"key":"ref2","article-title":"2D face recognition: An experimental and reproducible research survey","author":"g\u00fcnther","year":"2017","journal-title":"Idiap-RR-13"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1016\/j.patrec.2015.12.013"},{"key":"ref20","article-title":"Deep face recognition","author":"parkhi","year":"2015","journal-title":"British Machine Vision Conference"},{"key":"ref22","article-title":"The IST-EURECOM light field face database","author":"sepas-moghaddam","year":"2017","journal-title":"2nd International Workshop on Biometrics and Forensics"},{"key":"ref21","article-title":"Very deep convolutional networks for large-scale image recognition","author":"simonyan","year":"2015","journal-title":"arXiv preprint arXiv 1409 1556"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1145\/237170.237199"},{"key":"ref23","first-page":"3","article-title":"The plenoptic function and the elements of early vision","author":"adelson","year":"1991","journal-title":"Computation Models of Visual Processing"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1016\/j.imavis.2016.09.001"},{"key":"ref25","doi-asserted-by":"crossref","first-page":"18","DOI":"10.1109\/TNN.2007.901277","article-title":"MPCA: Multilinear principal component analysis of tensor objects","volume":"19","author":"lu","year":"2008","journal-title":"IEEE Transactions on Neural Networks"},{"key":"ref50","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2015.7298762"},{"article-title":"LIBSVM - A library for support vector machines","year":"0","author":"chang","key":"ref51"},{"key":"ref54","doi-asserted-by":"publisher","DOI":"10.1162\/jocn.1991.3.1.71"},{"key":"ref53","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2011.2175739"},{"key":"ref52","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2005.177"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/IIH-MSP.2013.93"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/ICDSP.2013.6622829"},{"key":"ref40","article-title":"Transferring deep representation for NIR-VIS heterogeneous face recognition","author":"liu","year":"2016","journal-title":"International Conference on Biometrics"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/ICIP.2017.8296996"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1049\/iet-bmt.2017.0204"},{"key":"ref14","doi-asserted-by":"crossref","first-page":"71","DOI":"10.3390\/s141222471","article-title":"Face liveness detection using a light field camera","volume":"14","author":"kim","year":"2014","journal-title":"SENSORS"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2015.2395951"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/ICIP.2016.7532603"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1049\/iet-bmt.2017.0095"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/TIFS.2018.2799427"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/ICSPCC.2016.7753695"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/TIFS.2014.2359577"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/ICCVW.2015.58"},{"key":"ref6","article-title":"Light field photography with a hand-held plenoptic camera","author":"ng","year":"2005","journal-title":"Technical Report CSTR 2005-02"},{"year":"0","key":"ref5","article-title":"Lytro website"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/TIFS.2015.2512559"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1145\/237170.237199"},{"key":"ref49","doi-asserted-by":"publisher","DOI":"10.1016\/j.cviu.2018.01.010"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/ICB.2013.6612980"},{"key":"ref46","doi-asserted-by":"crossref","DOI":"10.1117\/12.606093","article-title":"Feature level fusion of hand and face biometrics","author":"ross","year":"2005","journal-title":"Biometric Technology for Human Identification"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.720"},{"key":"ref48","doi-asserted-by":"publisher","DOI":"10.1109\/DEVLRN.2017.8329827"},{"article-title":"Light Field Toolbox V. 0.4","year":"0","author":"dansereau","key":"ref47"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1109\/ICRCICN.2017.8234507"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1109\/CVPRW.2016.47"},{"key":"ref44","doi-asserted-by":"crossref","DOI":"10.1609\/aaai.v31i1.10786","article-title":"Learning invariant deep representation for NIR-VIS face recognition","author":"he","year":"2017","journal-title":"Conference on Artificial Intelligence"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1080\/10798587.2015.1110288"}],"event":{"name":"2018 IEEE 28th International Workshop on Machine Learning for Signal Processing (MLSP)","start":{"date-parts":[[2018,9,17]]},"location":"Aalborg, Denmark","end":{"date-parts":[[2018,9,20]]}},"container-title":["2018 IEEE 28th International Workshop on Machine Learning for Signal Processing (MLSP)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/8482103\/8516704\/08516966.pdf?arnumber=8516966","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,9,7]],"date-time":"2023-09-07T04:58:47Z","timestamp":1694062727000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/8516966\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2018,9]]},"references-count":54,"URL":"https:\/\/doi.org\/10.1109\/mlsp.2018.8516966","relation":{},"subject":[],"published":{"date-parts":[[2018,9]]}}}