Abstract
The problem of development a sustainable efficient and accurate augmented reality system possessing the interactivity property and basically implementing markerless approach for supplementing the real scene is addressed in this paper. Custom implementation is based on applying of feature-based SLAM algorithm, which is resistant to change light conditions, able to track both textured and non-textured objects in real-time mode achieved by introducing a once-performed offline system teaching step. The proposed solution is universal because of the system’s configurability in accordance with the desirable result.
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Acknowledgments
This work was supported by the Ministry of Education and Science of the Russian Federation (RFMEFI60714X0088) agreement for a grant on ‘Development of methods and means of processing and intelligent image analysis and flow of data obtained from a set of stationary and mobile sensors, using high-performance distributed computing for the tasks of monitoring the indoor placement and adjacent outdoor territories’.
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Shuvalova, L., Petrov, A., Khithov, V., Tishchenko, I. (2017). Interactive Markerless Augmented Reality System Based on Visual SLAM Algorithm. In: Kim, JH., Karray, F., Jo, J., Sincak, P., Myung, H. (eds) Robot Intelligence Technology and Applications 4. Advances in Intelligent Systems and Computing, vol 447. Springer, Cham. https://doi.org/10.1007/978-3-319-31293-4_8
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DOI: https://doi.org/10.1007/978-3-319-31293-4_8
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