Abstract
As a method of personal authentication, biometric authentication has attracted attention in recent years. A 2D Face Recognition with 2D data shot by the camera, sensitive to changes in brightness and face orientation, there is also a problem in terms of security because it can match with the photograph. In this paper, we propose a 3D face recognition method using Point Pair Feature (PPF) which is used to recognize objects in the field of robot vision. By changing the face area using the distance between the eyes, it is not influenced by the shooting distance and the orientation of the face. Also, since 3D data is generated by using the Depth image acquired from the 3D sensor, it is not affected by the change in brightness. Therefore, it is possible to recognize the face robustly. From the experimental results, even if the distance to the sensor and the angle changed, it was confirmed that the person can be authenticated with an accuracy of 100%.
