SparkleGeometry: Glitter Imaging for 3D Point Tracking

Abstract

We consider a geometric inference problem for an imaging system consisting of a camera that views the world through a planar, rectangular sheet of glitter. We describe a procedure to calibrate this imaging geometry as a generalized camera which characterizes the subset of the light field viewed through each piece of glitter. We propose an easy to construct physical prototype and characterize its performance for estimating the 3D position of a moving point light source just by viewing the changing sparkle patterns visible on the glitter sheet.

Cite

Text

Stylianou and Pless. "SparkleGeometry: Glitter Imaging for 3D Point Tracking." IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2016. doi:10.1109/CVPRW.2016.119

Markdown

[Stylianou and Pless. "SparkleGeometry: Glitter Imaging for 3D Point Tracking." IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2016.](https://mlanthology.org/cvprw/2016/stylianou2016cvprw-sparklegeometry/) doi:10.1109/CVPRW.2016.119

BibTeX

@inproceedings{stylianou2016cvprw-sparklegeometry,
  title     = {{SparkleGeometry: Glitter Imaging for 3D Point Tracking}},
  author    = {Stylianou, Abby and Pless, Robert},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops},
  year      = {2016},
  pages     = {919-926},
  doi       = {10.1109/CVPRW.2016.119},
  url       = {https://mlanthology.org/cvprw/2016/stylianou2016cvprw-sparklegeometry/}
}