Titlebook: Audio- and Video-based Biometric Person Authentication; First International Josef Bigün,Gérard Chollet,Gunilla Borgefors Conference procee

HEDGE

Statistical chromaticity models for lip tracking with B-splines,plines. The lips are automatically localised in the original image and an elliptic B-spline is generated to start up tracking. Lip localisation exploits grey-level gradient projections as well as chromaticity models to find the lips in an automatically segmented region corresponding to the face area

嘲笑

CLAM

Automatic Video-based Person Authentication using the RBF network,VBPA). Possible tasks and application scenarios under consideration involve detection and tracking of humans . human (ID) verification. Authentication corresponds to ID verification and involves actual (face) recognition for the subject(s) detected in the video sequence. The architecture for AVBPA t

organic-matrix

Anal-Canal

串通

Bricklayer

吹牛大王

Discriminant analysis for recognition of human face images,Using Linear Discriminant Analysis (LDA) of different aspects of human faces in spatial domain, we first evaluate the significance of visual information in different parts/features of the face for identifying the human subject. The LDA of faces also provides us with a small set of features that carr

让步

Image representations for visual learning,rmediate 3D models. I will argue that most of these techniques depend on a representation of images that induces a linear vector space structure and in principle requires dense correspondence. This image representation allows the use of learning techniques for the analysis and for the synthesis of i

Ostrich

Automatic profile identification,ion constraints are given and motivated. A set of global and local features are automatically extracted from the profile outline of the head. The candidate profile is then compared with profiles of the database to issue a distance from which to accept or reject the claimed individual. To increase ro