Matching optimization based on KLT algorithm in natural feature tracking of augmented reality

Authors:
Gaoqi He;Lipeng Zhang;Wenhui Yue;Jia Ni;Yunfeng Hu
Affiliations:
East China University of Science and Technology, Shanghai, P. R. China and East China Normal University, Shanghai, P.R.China;East China University of Science and Technology, Shanghai, P. R. China;East China Normal University, Shanghai, P. R. China;East China University of Science and Technology, Shanghai, P. R. China;East China University of Science and Technology, Shanghai, P. R. China
Venue:
Proceedings of the 11th ACM SIGGRAPH International Conference on Virtual-Reality Continuum and its Applications in Industry
Year:
2012

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Abstract

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.