Abstract:

In the face recognition problem, in order to overcome the difficulties caused by the changes in posture and facial expressions, homotopic image pseudoinvariants for openset recognition and image retrieval is proposed. However, the illumination change is also caused by the continuous rotation of the face relative to the image acquisition equipment. In this paper we proposed a more general robust feature learning method based on homotopy equivalence with sparse coding. We tested it on the Yale B datasets and got a good result.

Key words: homotopy;sparse coding;morphing;critical_point;discrete bijection;energy function