Fast Face Model Reconstruction and Synthesis Using an RGB-D Camera and Its Subjective Evaluation

Abstract

It is difficult to show a frontal face in video chatting because there is a gap between a display and a camera. We propose a method for real-time face reorientation by creating a 2.5-D face model from a single RGB-D camera and synthesizing the rotated face model with the original face image. Our method uses two kinds face models complementarily: a point cloud based model and a generic face model fitted to the user. We conducted subjective evaluation and confirmed the validity of our proposed system.