A fast and robust 3D head pose and gaze estimation system
K Kinoshita, Y Ma, S Lao, M Kawaade�- Proceedings of the 8th�…, 2006 - dl.acm.org
We developed a fast and robust head pose and gaze estimation system. This system can
detect facial points and estimate 3D pose angles and gaze direction under various
conditions including facial expression changes and partial occlusion. We need only one
face image as input and do not need special devices such as blinking LEDs or stereo
cameras. Moreover, no calibration is needed. The system shows a 95% head pose
estimation accuracy and 81% gaze estimation accuracy (when the error margin is 15�…
detect facial points and estimate 3D pose angles and gaze direction under various
conditions including facial expression changes and partial occlusion. We need only one
face image as input and do not need special devices such as blinking LEDs or stereo
cameras. Moreover, no calibration is needed. The system shows a 95% head pose
estimation accuracy and 81% gaze estimation accuracy (when the error margin is 15�…
A fast and robust 3D head pose and gaze estimation system
K Kinoshita, S Lao�- 2008 8th IEEE International Conference on�…, 2008 - ieeexplore.ieee.org
We developed a fast and robust head pose and gaze estimation system. This system can
detect facial feature points and estimate 3D pose angles and gaze direction in various
conditions including changes in facial expression, partial occlusion, etc. The system needs
only one face image as input and doesn't need any special devices such as blinking LED or
stereo camera. Moreover, no calibration process is needed. It shows 95% of head pose
estimation accuracy and 81% of gaze estimation accuracy (when the error margin is 15�…
detect facial feature points and estimate 3D pose angles and gaze direction in various
conditions including changes in facial expression, partial occlusion, etc. The system needs
only one face image as input and doesn't need any special devices such as blinking LED or
stereo camera. Moreover, no calibration process is needed. It shows 95% of head pose
estimation accuracy and 81% of gaze estimation accuracy (when the error margin is 15�…
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