Pregled bibliografske jedinice broj: 255980
Sub-Image Homomorphic Filtering Technique for Improving Facial Identification under Difficult Illumination Conditions
Sub-Image Homomorphic Filtering Technique for Improving Facial Identification under Difficult Illumination Conditions // Proceedings of the 13th International Conference on Systems, Signals and Image Processing, IWSSIP 2006 / Enyedi, Balazs ; Reichardt, Andras (ur.).
Košice: Harlequin, 2006. str. 95-98 (predavanje, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)
CROSBI ID: 255980 Za ispravke kontaktirajte CROSBI podršku putem web obrasca
Naslov
Sub-Image Homomorphic Filtering Technique for Improving Facial Identification under Difficult Illumination Conditions
Autori
Delač, Krešimir ; Grgić, Mislav ; Kos, Tomislav
Vrsta, podvrsta i kategorija rada
Radovi u zbornicima skupova, cjeloviti rad (in extenso), znanstveni
Izvornik
Proceedings of the 13th International Conference on Systems, Signals and Image Processing, IWSSIP 2006
/ Enyedi, Balazs ; Reichardt, Andras - Košice : Harlequin, 2006, 95-98
Skup
13th International Conference on Systems, Signals and Image Processing, IWSSIP 2006
Mjesto i datum
Budimpešta, Mađarska, 21.09.2006. - 23.09.2006
Vrsta sudjelovanja
Predavanje
Vrsta recenzije
Međunarodna recenzija
Ključne riječi
Outdoor Face Recognition; Homomorphic Filtering; Illumination Compensation
Sažetak
In this paper we will propose a simple modification of standard homomorphic filtering technique and thus significantly improve face recognition performance on images with difficult illumination conditions. We will also give a detailed theoretical description of a homomorphic filter and compare our proposed method to common illumination compensation techniques used in face recognition literature. The comparisons will be performed on standard grayscale FERET database and this will, in addition, be the first evaluation of homomorphic filter on this database. Results will show that our method yields significantly better identification results than standard illumination compensation methods currently used in face recognition.
Izvorni jezik
Engleski
Znanstvena područja
Elektrotehnika