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.2016.119Markdown
[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.2016.119BibTeX
@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/}
}