Pregled bibliografske jedinice broj: 673287
Cross-spectral face recognition in heterogeneous environments: A case study on matching visible to short-wave infrared imagery
Cross-spectral face recognition in heterogeneous environments: A case study on matching visible to short-wave infrared imagery // Proc. of 5th IAPR International Conference on Biometrics, ICB 2011 / Jain, Anil K. ; Ross, Ar ; Prabhakar, Salil ; Kim, Jaihie (ur.).
New York (NY): Institute of Electrical and Electronics Engineers (IEEE), 2012. str. 1-8 (predavanje, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)
CROSBI ID: 673287 Za ispravke kontaktirajte CROSBI podršku putem web obrasca
Naslov
Cross-spectral face recognition in heterogeneous environments: A case study on matching visible to short-wave infrared imagery
Autori
Kalka, Nathan D. ; Bourlai, Thirimachos ; Čukić, Bojan ; Hornak, Lawrence
Vrsta, podvrsta i kategorija rada
Radovi u zbornicima skupova, cjeloviti rad (in extenso), znanstveni
Izvornik
Proc. of 5th IAPR International Conference on Biometrics, ICB 2011
/ Jain, Anil K. ; Ross, Ar ; Prabhakar, Salil ; Kim, Jaihie - New York (NY) : Institute of Electrical and Electronics Engineers (IEEE), 2012, 1-8
ISBN
978-1-4673-0396-5
Skup
Proc. of 5th IAPR International Conference on Biometrics, ICB 2011
Mjesto i datum
New Delhi, Indija, 29.03.2012. - 01.04.2012
Vrsta sudjelovanja
Predavanje
Vrsta recenzije
Međunarodna recenzija
Ključne riječi
none
Sažetak
In this paper we study the problem of cross spectral face recognition in heterogeneous environments. Specifically we investigate the advantages and limitations of matching short wave infrared (SWIR) face images to visible images under controlled or uncontrolled conditions. The contributions of this work are three-fold. First, three different databases are considered, which represent three different data collection conditions, i.e., images acquired in fully controlled (indoors), semi-controlled (indoors at standoff distances (50m0m), and uncontrolled (outdoor operational conditions) environments. Second, we demonstrate the possibility of SWIR cross-spectral matching under controlled and challenging scenarios. Third, we illustrate how photometric normalization and our proposed cross-photometric score level fusion rule can be utilized to improve cross-spectral matching performance across all scenarios. We utilized both commercial and academic (texture-based) face matchers and performed a set of experiments indicating that SWIR images can be matched to visible images with encouraging results. Our experiments also indicate that the level of improvement in recognition performance is scenario dependent.
Izvorni jezik
Engleski
Znanstvena područja
Računarstvo
POVEZANOST RADA
Projekti:
165-0362980-2002 - Postupci raspoređivanja u samoodrživim raspodijeljenim računalnim sustavima (Martinović, Goran, MZO ) ( CroRIS)
Ustanove:
Fakultet elektrotehnike, računarstva i informacijskih tehnologija Osijek
Profili:
Bojan Čukić
(autor)