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

来源：Science China Information Sciences, 2010, 53(8): 1555-1565.

DOI：10.1007/s11432-010-4026-5

• outdoor augmented reality
• camera tracking
• randomized tree

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.

• 出版日期2010-8
• 单位北京理工大学