| R. Azuma and G. Bishop. Improving static and dynamic registration in a see-through hmd. Proceedings of SIGGRAPH'94, pages 197--204, 1994. |
....distortions causing incorrect viewing perspectives. To handle these imperfections, filtering is often applied to the tracked data so the VR application can obtain more accurate estimates of the user s motion. The Kalman filter (KF) is a popular choice for estimating user motion in VR applications[2][3] 4] Since position information is linear, standard Kalman filtering can be easily applied to the tracking problem without much difficulty. However, human pose information also contains nonlinear orientation data, requiring a modification to the KF. The extended Kalman filter (EKF) provides ....
Azuma, Ronald and Gary Bishop. Improving Static and Dynamic Registration in a See-Through HMD. In Proceedings of SIGGRAPH'94, 197-204, 1994.
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Azuma94 Azuma, Ronald and Gary Bishop. Improving Static and Dynamic Registration in a See-Through HMD. Proceedings of SIGGRAPH '94 (Orlando, FL, 24-29 July 1994). In Computer Graphics, Annual Conference Series, 1994, 197-204.
No context found.
R. Azuma and G. Bishop. Improving static and dynamic registration in a see-through hmd. Proceedings of SIGGRAPH'94, pages 197--204, 1994.
No context found.
Azuma, Ronald and Gary Bishop. Improving Static and Dynamic Registration in a See-Through HMD. In Proceedings of SIGGRAPH'94, 197-204, 1994.
No context found.
Azuma, Ronald and Gary Bishop. Improving Static and Dynamic Registration in a See-Through HMD. In Proceedings of SIGGRAPH'94, 197-204, 1994.
No context found.
Azuma, Ronald and Gary Bishop. Improving Static and Dynamic Registration in a See-Through HMD. In Proceedings of SIGGRAPH'94, 197-204, 1994.
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