An Improved Method for Locating and Extracting the Eye in Human Face Images
Kin‐Man Lam, Hong Yan · 1996
In this paper, the head boundary is first located in a head-and-shoulders image. The approximate positions of the eyes are estimated by means of average anthropometric measures. Corners, the salient features of the eyes, are detected. The corner detection scheme introduced in this paper can provide accurate information about the corners. The shape of the eye is then extracted by a new scheme, based on snakes and on the deformable template. This new representation is in a form similar to snakes, but the energy functional to be minimised is based on some new energy terms and those terms used by the deformable template. A fast algorithm based on the greedy algorithm for active contour modelling is presented for the optimisation step. Experiments show that the execution time required for the whole procedure to extract the eye features is less than one second on a Sun workstation.