• • Part of the book series (LNCS, volume 1296) Abstract We present a system for recognizing human faces from single images out of a large database with one image per person. The task is difficult because of image variation in terms of position, size, expression, and pose. The system collapses most of this variance by extracting concise face descriptions in the form of image graphs.

Installation Soundmax Pilote Introuvable here. In these, fiducial points on the face (eyes, mouth etc.) are described by sets of wavelet components ( jets). Image graph extraction is based on a novel approach, the bunch graph, which is constructed from a small set of sample image graphs. Recognition is based on a straight-forward comparison of image graphs. We report recognition experiments on the FERET database and the Bochum database, including recognition across pose.

Keywords: Elastic Bunch Graph Matching, Skin Segmentation, Gabor Wave-lets, Graph Similarity, Template Matching, Face Bunch Graph, Face Recognition. Face Recognition by Elastic Bunch Graph. From sample images by matching the embryonic bunch graph to. Generic Non-pnp Monitor On Standard Vga Graphics Adapter Driver on this page. Robots 2005 Pc Game ' more. Graph representation of a face is based on.