Augmented reality registration algorithm based on nature feature recognition  

作　　者：CHEN Jing WANG YongTian GUO JunWei LIU Wei LIN JingDun XUE Kang LIU Yue DING GangYi 

机构地区：[1]School of Optoelcctronics, Beijing Institute of Technology, Beijing 100081, China [2]School of Computer Science and Technology, Beijing Institute of Technology, Beijing 100081, China [3]School of Software, Beijing Institute of Technology, Beijing 100081, China

出　　处：《Science China(Information Sciences)》2010年第8期1555-1565,共11页中国科学（信息科学）（英文版）

基　　金：supported by the National High-Tech Research & Development Program of China (Grants No.2007AA01Z325);the National Natural Science Foundation of China (Grant Nos. 60673198, 60827003, 60903070);the Innovation Team Development Program of the Chinese Ministry of Education (Grant No. IRT0606)

摘　　要：This paper presents an improved key frame based augmented reality registration algorithm for real-time motion tracking in outdoor environment. In such applications, wide-baseline feature matching is a critical problem. In this paper, we apply randomized tree method to match key points extracted from the input image to those key frames as a classification problem. Extended Kalman filter is also utilized for jitter correction. A video see-through mobile augmented reality system is built for the on-site digital reconstruction of Yuanmingyuan Garden. Experimental results demonstrate that this algorithm is real-time, robust and effective for outdoor tracking.

关 键 词：outdoor augmented reality camera tracking randomized tree 

分 类 号：TP391.9[自动化与计算机技术—计算机应用技术] TP31[自动化与计算机技术—计算机科学与技术]