Pregled bibliografske jedinice broj: 51527
Face recognition from profiles using morphological operations and boundary shape representation
Face recognition from profiles using morphological operations and boundary shape representation // Proceedings of the Workshop on Recognition, Analysis, and Tracking of Faces and Gestures in Real-Time Systems
Krf, Grčka, 1999. (predavanje, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)
CROSBI ID: 51527 Za ispravke kontaktirajte CROSBI podršku putem web obrasca
Naslov
Face recognition from profiles using morphological operations and boundary shape representation
Autori
Lipošćak, Zdravko ; Lončarić, Sven
Vrsta, podvrsta i kategorija rada
Radovi u zbornicima skupova, cjeloviti rad (in extenso), znanstveni
Izvornik
Proceedings of the Workshop on Recognition, Analysis, and Tracking of Faces and Gestures in Real-Time Systems
/ - , 1999
Skup
Workshop on Recognition, Analysis, and Tracking of Faces and Gestures in Real-Time Systems
Mjesto i datum
Krf, Grčka, 26.09.1999. - 27.09.1999
Vrsta sudjelovanja
Predavanje
Vrsta recenzije
Međunarodna recenzija
Sažetak
A novel method for face recognition using profile images based on the representation of the original and morphological derived profile shapes is presented in this paper. The goal of our approach is to use information from profile outline that bounds the face and the hair. A grey-level profile image is thresholded to produce a binary image, representing the face region. After normalising the area and orientation of this shape using basic morphological operations, dilation and erosion, we simulate hair growth and haircut and produce two new profile silhouettes. From this three profile shapes feature vectors are obtained using distances between outline curve points and shape centroid. After normalising the vector components, the Euclidean distance measure is used for measuring the similarity of the feature vectors derived from different profiles. Experiments were performed on profile images of thirty persons. Experimental results including recognition rates are presented and discussed.
Izvorni jezik
Engleski
Znanstvena područja
Elektrotehnika
POVEZANOST RADA
Projekti:
036024
Ustanove:
Fakultet elektrotehnike i računarstva, Zagreb
Profili:
Sven Lončarić
(autor)