Super-resolution of faces using the epipolar constraint
Richard J. M. den Hollander, D.J.J. de Lange, Klamer Schutte · 2007
In this paper we present a super-resolution scheme specifically designed for faces. First, a face detector is used to find faces in a video frame, after which an optical flow algorithm is applied to track feature points on the faces. Given the set of flow vectors corresponding to a single face, we propose to use the epipolar geometry for rejecting outlying flow vectors. This will improve the registration of the face over multiple frames, and thus lead to an improved super-resolution image. An iterative backprojection method is used for acquiring the super-resolution images