Face Recognition by Elastic Bunch Graph Matching. The system performance and robustness is assessed, and is compared with other systems. 2D views of faces are represented by labeled graphs. Graph nodes are labeled with jets and graph edges are labeled with distance vectors.
Jets are a concise and robust representation of local grey-level value regions of the image.
Points such as the tip of the nose, the corners of the mouth, the pupils, the tip of the chin are included. The graphs thus have an object adapted grid and compatible nodes in different views can be compared with each other. To be able to process a large number of new faces, we have introduced a special graph structure, the bunch graph. Each node of the bunch graph is then labeled with all the jets taken from the models at the same fiducial point. New faces can be encoded by taking jets from different models at each node, e.g. left-eye jet taken from model 3 while nose jet taken from model 25.