ML Anthology

Camera Trajectory Estimation Using Inertial Sensor Measurements and Structure from Motion Results

Sang-Hack Jung, Camillo J. Taylor
CVPR 2001 pp. II:732-737
doi:10.1109/CVPR.2001.991037 /cvpr/2001/jung2001cvpr-camera/

Abstract

This paper describes an approach to estimating the trajectory of a moving camera based on the measurements acquired with an inertial sensor and estimates obtained by applying a structure from motion algorithm to a small set of keyframes in the video sequence. The problem is formulated as an offline trajectory fitting task rather than an online integration problem. This approach avoids many of the issues usually associated with inertial estimation schemes. One of the main advantages of the proposed technique is that it can be applied in situations where approaches based on feature tracking would have significant difficulties. Results obtained by applying the procedure to extended sequences acquired with both conventional and omnidirectional cameras are presented.

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Cite

Text

Jung and Taylor. "Camera Trajectory Estimation Using Inertial Sensor Measurements and Structure from Motion Results." IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2001. doi:10.1109/CVPR.2001.991037

Markdown

[Jung and Taylor. "Camera Trajectory Estimation Using Inertial Sensor Measurements and Structure from Motion Results." IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2001.](https://mlanthology.org/cvpr/2001/jung2001cvpr-camera/) doi:10.1109/CVPR.2001.991037

BibTeX

@inproceedings{jung2001cvpr-camera,
  title     = {{Camera Trajectory Estimation Using Inertial Sensor Measurements and Structure from Motion Results}},
  author    = {Jung, Sang-Hack and Taylor, Camillo J.},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition},
  year      = {2001},
  pages     = {II:732-737},
  doi       = {10.1109/CVPR.2001.991037},
  url       = {https://mlanthology.org/cvpr/2001/jung2001cvpr-camera/}
}