@ARTICLE{ iet:/content/journals/10.1049/iet-bmt.2017.0204, author = {Alireza Sepas-Moghaddam}, author = {Fernando Pereira}, author = {Paulo Lobato Correia}, keywords = {lenslet light field cameras;536 light field images;ear piercing;novel Lenslet Light Field Ear DataBase;ear images;ear recognition solution;recent light field;earing;imaging sensors;Lytro ILLUM lenslet light field camera;biometric research;forensic research;nonlight field;}, ISSN = {2047-4938}, language = {English}, abstract = {Ear recognition is an emerging research area in image-based biometrics. The commercial availability of lenslet light field cameras able to capture full spatio-angular information has brought momentum to biometric and forensic research exploiting this new type of imaging sensors. This study is the first to consider the usage of light field cameras for ear recognition, proposing both an appropriate content database and an ear recognition solution. The novel Lenslet Light Field Ear DataBase (LLFEDB) includes 536 light field images corresponding to four different poses, from 67 subjects, captured with a Lytro ILLUM lenslet light field camera. The LLFEDB includes critical cases such as ear images partly occluded by ear piercing, earing, hair and combination of occlusions. The novel light field-based ear recognition solution proposed exploits the richer spatio-angular information available in the light field images. A comparative performance evaluation study using the LLFEDB, and focusing on the most recent light field and non-light field based descriptors for ear recognition, shows a very promising performance of the proposed descriptor, outperforming all the assessed descriptors.}, title = {Ear recognition in a light field imaging framework: a new perspective}, journal = {IET Biometrics}, issue = {3}, volume = {7}, year = {2018}, month = {May}, pages = {224-231(7)}, publisher ={Institution of Engineering and Technology}, copyright = {© The Institution of Engineering and Technology}, url = {https://digital-library.theiet.org/;jsessionid=34slhp4b4f7f8.x-iet-live-01content/journals/10.1049/iet-bmt.2017.0204} }