The objective of this work is to contribute to developing a system for person identification through the analysis of an RGBD image of the face of the person in front of an Assistant Personal Robot (APR). To accomplish the purpose, the state-of-the-art works related to this subject will be studied, focusing on subject recognition but also on gender and age identification. Those works will be evaluated in advantages and disadvantages and finally an approach will be chosen to be implemented in this work. The camera used in this work is the Creative Senz3D Camera which provides RGB, infrared and depth simultaneous information; the RGB image without background is also processed and obtained, furthermore the camera provides the world 3D points. In the final planned application, the APR will capture face images trough the 3D camera and they will be used to identify the person in front of the robot.