Research Article
Combining Computer Graphics and Feature for 3D Camera Tracking Based on CAD Model
@INPROCEEDINGS{10.1007/978-3-319-78139-6_3, author={Linlin Wang and Guoyun Lv and Ningxin Zhang and Yanggege Yu}, title={Combining Computer Graphics and Feature for 3D Camera Tracking Based on CAD Model}, proceedings={Communications and Networking. 12th International Conference, ChinaCom 2017, Xi’an, China, October 10-12, 2017, Proceedings, Part II}, proceedings_a={CHINACOM}, year={2018}, month={4}, keywords={Template-based tracking Feature-based tracking CAD model}, doi={10.1007/978-3-319-78139-6_3} }- Linlin Wang
Guoyun Lv
Ningxin Zhang
Yanggege Yu
Year: 2018
Combining Computer Graphics and Feature for 3D Camera Tracking Based on CAD Model
CHINACOM
Springer
DOI: 10.1007/978-3-319-78139-6_3
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.
