A Comparative Study of descriptors and detectors in Multispectral Face Recognition
| Affiliation auteurs | !!!! Error affiliation !!!! |
| Titre | A Comparative Study of descriptors and detectors in Multispectral Face Recognition |
| Type de publication | Conference Paper |
| Year of Publication | 2016 |
| Auteurs | Mamadou D, Adou KJerome, Gouton P |
| Editor | Yetongnon K, Dipanda A, DePietro RCG, Gallo L |
| Conference Name | 2016 12TH INTERNATIONAL CONFERENCE ON SIGNAL-IMAGE TECHNOLOGY & INTERNET-BASED SYSTEMS (SITIS) |
| Publisher | IEEE; IEEE Comp Soc; Univ Bourgogne; CNRS; ACM SIGAPP; IFIP; Natl Res Council Italy, Inst High Performance Comp & Networking; Univ Naples Federico II; Univ Milan; Univ Bourgogne, Lab Elect Image Informatique Res Grp; Univ Stvdiorvm Mediolanensis; Distrett |
| Conference Location | 345 E 47TH ST, NEW YORK, NY 10017 USA |
| ISBN Number | 978-1-5090-5698-9 |
| Mots-clés | BRISK, FREAK, HARRIS, Infrared, multispectral face recognition, SURF, visible |
| Résumé | Feature extraction is widely used in many computer vision problems such as object detection, image retrieval, object and scene recognition, etc. Feature extraction based on local feature detectors and descriptors requires a good compromise between the detectors and the descriptors. This paper presents a set of tools which are BRISK, FAST, FREAK, HARRIS and SURF for multispectral face recognition which is an alternative to conventional face recognition. The multispectral images are obtained by fusion of thermal and visible images. |
| DOI | 10.1109/SITIS.2016.41 |