Abstract / truncated to 115 words (read the full abstract)

In a world where security issues have been gaining explosive importance, face and ear recognition systems have attracted increasing attention in multiple application areas, ranging from forensics and surveillance to commerce and entertainment. While the recognition performance has been steadily improving, there are still challenging recognition scenarios and conditions, notably when facing large variations in the biometric data characteristics. Additionally, the widespread use of face and ear recognition solutions raises new security concerns, making the robustness against presentation attacks a very active field of research. Lenslet light field cameras have recently come into prominence as they are able to also capture the intensity of the light rays coming from multiple directions, thus offering a richer ... toggle 5 keywords

biometric recognition presentation attack detection light field imaging deep learning hand-crafted descriptors

Information

Author
Alireza Sepas-Moghaddam
Institution
Instituto Superior T├ęcnico, University of Lisbon
Supervisors
Publication Year
2019
Upload Date
Jan. 31, 2019

First few pages / click to enlarge

The current layout is optimized for mobile phones. Page previews, thumbnails, and full abstracts will remain hidden until the browser window grows in width.

The current layout is optimized for tablet devices. Page previews and some thumbnails will remain hidden until the browser window grows in width.