Partial Face Recognition Using Robust Point Set Matching

A number of methods have been proposed for recognition of a face over the past few decades. Some of them have shown promising results but they work only in well controlled condition. In this method, the face patch and the gallery image are brought to the same size before finding the similarities between the images. In our real world scenarios, a lot of faces get covered by other objects like scarfs, sunglasses, another person face in front of us, the angle between the camera and the person etc., not being able to recognise the persons face. To overcome such cases a method should be developed to identify the persons face. A gallery image and a face patch is taken, first we detect their keypoints and extract their textual features and geometric features. Then we proceed with the robust point set matching where we match keypoints with the textual features and the geometrical features of both the gallery image and the face patch image. Finally, the distance between the features is matched and the face is recognised.