Face Tracking Implementation with Pose Estimation Algorithm in Augmented Reality Technology

Augmented Reality (AR) is a combination between computer-generated object and real-world object. Computer-generated object is a result of a three-dimensional graphics. AR software is designed to provide real-time interactivity with the user. The implementation of AR in this paper is to developing spectacle frame model simulation with face tracking and pose estimation algorithm. This simulation will have a lot of benefits, since the user are able to try various models of spectacle frames, anytime, anywhere, and lead into effective technology implementation. The speed of face detection or face tracking used in this software will have a significant dependency from the resolution of image input. The lower the resolution, frame per second will be higher. After the software is activated, users that in the webcam's range will be processed automatically. The spectacle frame model will be positioned in the user's face.