Vision-based System for Head Pose Tracking in Indoor Immersive Environments
نویسندگان
چکیده
We describe an inexpensive, accurate, fast and scalable vision based indoor head pose tracking system. This system can be used for indoor tracking in VR and AR environments. Our approach uses video projectors to project a display grid pattern on the floor. The pattern consists of circular binary code color markers on a black and white checkerboard. A camera is attached to a user’s back, looking down. The camera looks at the projected pattern, and its position is calculated in tracking space based on the correspondence between the global position of the display grid markers and their image coordinates. We calibrate for the offset between the user’s head and the camera; hence head position can be calculated. The system has a mean position error of 4 millimeters and a mean jitter of less than 0.3 millimeters. We augment this position information with an inertial sensor to compute head rotation to achieve full 6DOF tracking.
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