文献类型：期刊文献

英文题名：Matching optimization based on KLT algorithm in natural feature tracking of augmented reality

作者：He, Gaoqi[1,2]; Zhang, Lipeng[1]; Yue, Wenhui[2]; Ni, Jia[1]; Hu, Yunfeng[1]

机构：[1] Department of CS and Technology, East China University of Science and Technology, Shanghai 200237, China; [2] Key Laboratory of Geographic Information Science, Ministry of Education, East China Normal University, Shanghai 200062, China

年份：2012

起止页码：303

外文期刊名：Proceedings - VRCAI 2012: 11th ACM SIGGRAPH International Conference on Virtual-Reality Continuum and Its Applications in Industry

收录：EI(收录号：20130415917021)

语种：英文

外文关键词：Virtual reality - Cameras

摘要：Registration is one of the most difficult problems in augmented reality systems. One optimized method is proposed in this paper to remove the mismatched points. This method is based on the KLT tracking and uses the Fast algorithm to extract the natural feature. Math verification is given based on the small changes between the continuous frames captured by camera. An AR Reading system is achieved in this paper and SURF algorithm is exploited as page recognition process. The initial camera pose could be calculated in page recognition process. Experiments show that the optimization presented could improve the robustness of the registration and decrease the re-projection error. ? 2012 ACM.