An Improved Augmented Reality Registration Method Based on Visual SLAM.

Gao, Q.H., Wan, T.R., Tang, W., Chen, L. and Zhang, K.B., 2017. An Improved Augmented Reality Registration Method Based on Visual SLAM. In: Edutainment 2017, 26-27 June 2017, Bournemouth.

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Abstract

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.

Item Type:Conference or Workshop Item (Paper)
Group:Faculty of Science & Technology
ID Code:29342
Deposited By: Unnamed user with email symplectic@symplectic
Deposited On:21 Jun 2017 09:31
Last Modified:02 Aug 2017 13:02

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