Gaze correction for videoconferencing

• Main Author: Hoang, Manh Quan
• Other Authors: Cham Tat Jen
• Format: Final Year Project
• Language: English
• Published: 2014
• Subjects: DRNTU::Engineering::Computer science and engineering::Computing methodologies::Image processing and computer vision
• Online Access: http://hdl.handle.net/10356/59894
• Institution: Nanyang Technological University

Communication through electronic link plays an important role in social inter- action. However, the quality of communication using current video conferencing systems is severely affected by the lack of eyes contact between each party caused by the inconsistency between users’ eyes and the camera. Although it has been solved for the high-end systems, the problem still exists for inexpensive consumer- level set-ups. This report presents a gaze correction approach for video confer- encing using a single Kinect sensor. The approach eliminates the gaze problem but still preserves integrity, and correctness of both the human face as well as the background scene. The method is applicable for simple home video conferencing: it uses cheap consumer hardware, and is easy to set-up.