Accurate image overlay on video see-through HMDs using vision and accelerometers

Proposes a method for accurate image overlay on head-mounted displays (HMDs) using vision and accelerometers. The proposed method is suitable for video see-through HMDs in augmented reality applications but is not limited to them. Acceleration information is used for predicting the head motion to compensate the end-to-end system delay and to make the vision-based tracking robust. Experimental results showed that the proposed method can reduce the alignment errors within 6 pixels on average and 11 pixels at the maximum, even is the user moves his/her head quickly (with 10 m/s/sup 2/ and 49 rad/s/sup 2/ at the maximum). The viewing range was enlarged by placing additional landmarks in the environment.