Face Recognition using Groups of Images in Smart Room Scenarios
In this paper, we present a technique for face recognition in smart environments. The technique takes advantage of the continuous monitoring of the scenario and combines the information of several images to perform the recognition. Appearance based face recognition techniques are used given that unobtrusive systems are required in this type of applications and that the scenario does not ensure high quality images. Models for the users are created on-the-fly and subsequent face images of the same individual are gathered into groups. Images within a group are jointly compared to the models for identification and verification purposes. Reliable face images are used to update the user's models. The proposed technique is assessed with the BANCA and CHIL databases.