Navigation in 3D Game by Markov Model Based Head Pose Estimating
Peng Lu, Xiangyong Zeng, Xiangsheng Huang, Yangsheng Wang · 2005
Keyboards, mice, and joy sticks are the most popular controlling and navigation devices in current 3D game. However, they are quite unnatural. In this paper, we propose a novel scheme to estimate the user's head pose and the estimation result is used for navigating in game. The novel scheme based on Markov model fusing appearance, color and motion information. The experimental results demonstrate that the proposed approach which is used for 3D game controlling, is real-time and robust, and can give players more immersiveness.