English

Optical Flow on Evolving Surfaces with an Application to the Analysis of 4D Microscopy Data

Optimization and Control 2013-05-22 v2 Computer Vision and Pattern Recognition

Abstract

We extend the concept of optical flow to a dynamic non-Euclidean setting. Optical flow is traditionally computed from a sequence of flat images. It is the purpose of this paper to introduce variational motion estimation for images that are defined on an evolving surface. Volumetric microscopy images depicting a live zebrafish embryo serve as both biological motivation and test data.

Keywords

Cite

@article{arxiv.1301.1576,
  title  = {Optical Flow on Evolving Surfaces with an Application to the Analysis of 4D Microscopy Data},
  author = {Clemens Kirisits and Lukas F. Lang and Otmar Scherzer},
  journal= {arXiv preprint arXiv:1301.1576},
  year   = {2013}
}

Comments

The final publication is available at link.springer.com

R2 v1 2026-06-21T23:05:57.189Z