A Theory of Multi-Perspective Defocusing

Abstract

We present a novel theory for characterizing defocus blurs in multi-perspective cameras such as catadioptric mirrors. Our approach studies how multi-perspective ray geometry transforms under the thin lens. We first use the General Linear Cameras (GLCs) to approximate the incident multi-perspective rays to the lens and then apply a Thin Lens Operator (TLO) to map an incident GLC to the exit GLC. To study defocus blurs caused by the GLC rays, we further introduce a new Ray Spread Function (RSF) model analogous the Point Spread Function (PSF). While PSF models defocus blurs caused by a 3D scene point, RSF models blurs spread by rays. We derive closed form RSFs for incident GLC rays, and we show that for catadioptric cameras with a circular aperture, the RSF can be effectively approximated as a single or mixtures of elliptic-shaped kernels. We apply our method for predicting defocus blurs on commonly used catadioptric cameras and for reducing de-focus blurs in catadioptric projections. Experiments on synthetic and real data demonstrate the accuracy and general applicability of our approach.

Cite

Text

Ding et al. "A Theory of Multi-Perspective Defocusing." IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2011. doi:10.1109/CVPR.2011.5995617

Markdown

[Ding et al. "A Theory of Multi-Perspective Defocusing." IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2011.](https://mlanthology.org/cvpr/2011/ding2011cvpr-theory/) doi:10.1109/CVPR.2011.5995617

BibTeX

@inproceedings{ding2011cvpr-theory,
  title     = {{A Theory of Multi-Perspective Defocusing}},
  author    = {Ding, Yuanyuan and Xiao, Jing and Yu, Jingyi},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition},
  year      = {2011},
  pages     = {217-224},
  doi       = {10.1109/CVPR.2011.5995617},
  url       = {https://mlanthology.org/cvpr/2011/ding2011cvpr-theory/}
}