DENG Lei1,2, CHEN Bao-hua1,2, HUANG Si-yuan1,2, DUAN Yue-qi1,2, ZHOU Jie1,2,3
1. Department of Automation, Tsinghua University, Beijing 100084, China;
2. Tsinghua National Laboratory for Information Science and Technology, Beijing 100084, China;
3. State Key Laboratory of Intelligent Technology and Systems, Beijing 100084, China
Image-based localization has wide applications including auto navigation,path planning,virtual reality,etc.For the end user,a single image is required.In this paper,we present a ray-based image localization system including ray-based 3D reconstruction and pose graph optimization-based localization.By using the inherit geometry properties of ray-based camera model,the proposed reconstruction algorithm can deal with various wide FOV camera models (panorama and fisheye) to reduce the reconstruction cost and achieve a better reconstruction result.The proposed pose graph optimization localization framework can combine 2D-3D matches information and relative pose information for a better localization accuracy.Experiment result shows the effectiveness of the proposed system.
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