We describe a method for face recognition based on the eigenimage technique that allows images to be represented by a limited set of parameters and be compared according to simple similarity criteria for classification or retrieval purposes. Our method is not applied to the whole image of the face, but to sub-images representing the most salient face components (eyes, nose, mouth). The method is able to recognise with good precision faces having different head postures on the image plane, because faces are straightened through a rotation transform. Moreover the paper reports results we have achieved with such a method on two publicly-available reference sets of images
A modified modular eigenspace approach to face recognition / Cagnoni, Stefano; Poggi, Agostino; Porcari, G.. - STAMPA. - (1999), pp. 490-495. (Intervento presentato al convegno 10th International Conference on Image Analysis and Processing (ICIAP99) tenutosi a Venezia nel 27 September 1999 through 29 September 1999).
A modified modular eigenspace approach to face recognition
CAGNONI, Stefano;POGGI, Agostino;
1999-01-01
Abstract
We describe a method for face recognition based on the eigenimage technique that allows images to be represented by a limited set of parameters and be compared according to simple similarity criteria for classification or retrieval purposes. Our method is not applied to the whole image of the face, but to sub-images representing the most salient face components (eyes, nose, mouth). The method is able to recognise with good precision faces having different head postures on the image plane, because faces are straightened through a rotation transform. Moreover the paper reports results we have achieved with such a method on two publicly-available reference sets of imagesI documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
