In this paper we describe the acquisition and content of a large multi-modal database
intended for training and testing of multi-modal veri cation systems. The XM2VTSDB …

In this paper we describe the acquisition and content of a new large, realistic and
challenging multi-modal database intended for training and testing multi-modal verification …

Biometric recognition is a trending technology that uses unique characteristics data to
identify or verify/authenticate security applications. Amidst the classically used biometrics …

The present paper describes a novel method for the segmentation of faces, extraction of
facial features and tracking of the face contour and features over time. Robust segmentation …

Face detection is a key problem in building automated systems that perform face
recognition. A very attractive approach for face detection is based on multiresolution images …

This paper presents automatic face authentication from facial surface analysis. This
geometrical approach was motivated by difficulties encountered when considering frontal …

The primary goal of the M2VTS project is to address the issue of secured access to buildings
or multi-media services by the use of automatic person verification based on multimodal …

The authors present a new approach for automatically segmentation and tracking of faces in
color images. Segmentation of faces is performed by evaluating color and shape …

There are many applications for systems co** with the problem of face localization and
recognition, eg model-based video coding, security systems and mug shot matching. Due to …

This paper describes a new approach for speaker identification based on lipreading. Visual
features are extracted from image sequences of the talking face and consist of shape …