An Improved Augmented Reality Registration Method Based on Visual SLAM

Authors: Gao, Q.H., Wan, T.R., Tang, W., Chen, L. and Zhang, K.B.

Start date: 26 June 2017

Journal: Springer Lecture Notes in Computer Science (LNCS) series

Markerless Augmented Reality registration using standard Homography matrix is unstable and has low registration accuracy. In this paper, we present a new method to improve the augmented reality registration method based on the Visual Simultaneous Localization and Mapping (VSLAM). We improved the method implemented in ORB- SLAM in order to increase stability and accuracy of AR registration.

VSLAM algorithm generate 3D scene maps in dynamic camera tracking process. Hence, for AR based on VSLAM utilizes the 3D map of the scene reconstruction to compute the location for virtual object augmen- tation. In this paper, a Maximum Consistency with Minimum Distance and Robust Z-score (MCMD Z) algorithm is used to perform the planar detection of 3D maps, then the Singular Value Decomposition (SVD) and Lie group are used to calculate the rotation matrix that helps to solve the problem of virtual object orientation. Finally, the method integrates camera poses on the virtual object registration. We show experimental results to demonstrate the robustness and registration accuracy of the method for augmented reality applications.

This data was imported from DBLP:

Authors: Gao, Q.H., Wan, T.R., Tang, W., Chen, L. and Zhang, K.B.

Editors: Tian, F., Gatzidis, C., Rhalibi, A.E. and Charles, F.

Journal: Edutainment

Volume: 10345

Pages: 11-19

Publisher: Springer

ISBN: 978-3-319-65848-3

The data on this page was last updated at 04:50 on December 13, 2018.