Hardware-Based Camera Calibration and 3D Modelling Under Circular Motion

Abstract

In this paper, we present a combined camera calibration and image based modeling method using an iterative optimization of shape from silhouette under circular motion. By minimizing the difference between the projections of reconstructed visual hull and the silhouette images using graphics hardware, the optimization can finally converge to accurate camera parameters and realistic visual hull efficiently and robustly. Using this method, we can automatically create photorealistic 3D models directly from images.

Cite

Text

Shu et al. "Hardware-Based Camera Calibration and 3D Modelling Under Circular Motion." IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2008. doi:10.1109/CVPRW.2008.4563093

Markdown

[Shu et al. "Hardware-Based Camera Calibration and 3D Modelling Under Circular Motion." IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2008.](https://mlanthology.org/cvprw/2008/shu2008cvprw-hardwarebased/) doi:10.1109/CVPRW.2008.4563093

BibTeX

@inproceedings{shu2008cvprw-hardwarebased,
  title     = {{Hardware-Based Camera Calibration and 3D Modelling Under Circular Motion}},
  author    = {Shu, Bo and Qiu, Xianjie and Wang, Zhaoqi},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops},
  year      = {2008},
  pages     = {1-6},
  doi       = {10.1109/CVPRW.2008.4563093},
  url       = {https://mlanthology.org/cvprw/2008/shu2008cvprw-hardwarebased/}
}