Ear recognition in a light field imaging framework: a new perspective
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 fi...
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| Published in | IET biometrics Vol. 7; no. 3; pp. 224 - 231 |
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| Main Authors | , , |
| Format | Journal Article |
| Language | English |
| Published |
Stevenage
The Institution of Engineering and Technology
01.05.2018
John Wiley & Sons, Inc |
| Subjects | |
| Online Access | Get full text |
| ISSN | 2047-4938 2047-4946 2047-4946 |
| DOI | 10.1049/iet-bmt.2017.0204 |
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| 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. |
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| AbstractList | 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. |
| Author | Sepas-Moghaddam, Alireza Pereira, Fernando Correia, Paulo Lobato |
| Author_xml | – sequence: 1 givenname: Alireza surname: Sepas-Moghaddam fullname: Sepas-Moghaddam, Alireza email: alireza@lx.it.pt organization: Instituto de Telecomunicações, Instituto Superior Técnico – Universidade de Lisboa, Lisbon, Portugal – sequence: 2 givenname: Fernando surname: Pereira fullname: Pereira, Fernando organization: Instituto de Telecomunicações, Instituto Superior Técnico – Universidade de Lisboa, Lisbon, Portugal – sequence: 3 givenname: Paulo Lobato surname: Correia fullname: Correia, Paulo Lobato organization: Instituto de Telecomunicações, Instituto Superior Técnico – Universidade de Lisboa, Lisbon, Portugal |
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| Keywords | biometric research ear recognition solution recent light field lenslet light field cameras nonlight field earing image reconstruction biometrics (access control) ear images image texture ear piercing cameras image sensors imaging sensors feature extraction forensic research novel Lenslet Light Field Ear DataBase ear 536 light field images Lytro ILLUM lenslet light field camera image recognition |
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| Title | Ear recognition in a light field imaging framework: a new perspective |
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