Abstract
A real-time 3D tracking system based on CAD model is proposed in this paper. The strategy in the tracking process includes both template-based and keypoint-based approaches. Compared with traditional CAD model-based tracking, a more accurate initial camera pose can be provided for the following feature-based operation which can accelerate the convergence of camera pose estimation. Using template-based method reduces the demand for textures of the tracking object to improve the universality of the system. Furthermore, adaptive visual feature extraction within the feature-based tracking is adopted in the experiment, and feature homogenization and other methods is also chosen to enhance the robustness and interference immunity of the system. Finally, the effectiveness and stability of the methods proposed in this paper is verified through the experiment of tracking targets in the image sequence.
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Acknowledgments
The work is sponsored by the Seed Foundation of Innovation and Creation for Graduate Students in Northwestern Polytechnical University (No. Z2017139).
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© 2018 ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering
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Wang, L., Lv, G., Zhang, N., Yu, Y. (2018). Combining Computer Graphics and Feature for 3D Camera Tracking Based on CAD Model. In: Li, B., Shu, L., Zeng, D. (eds) Communications and Networking. ChinaCom 2017. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 237. Springer, Cham. https://doi.org/10.1007/978-3-319-78139-6_3
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DOI: https://doi.org/10.1007/978-3-319-78139-6_3
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