Optical Flow on Evolving Surfaces with Space and Time Regularisation

2013/10/31 by Clemens Kirisits, Lukas F. Lang, Otmar Scherzer
Mathematics · Computer Science · #math.OC #cs.CV

paper · pdf · doi:10.1007/s10851-014-0513-4

The final publication is available at Springer via http://dx.doi.org/10.1007/s10851-014-0513-4. This is an extended version of arXiv:1301.1576

arxiv created 2014/06/25 · arxiv updated 2014/06/26

Abstract

We extend the concept of optical flow with spatiotemporal regularisation to a dynamic non-Euclidean setting. Optical flow is traditionally computed from a sequence of flat images. The purpose of this paper is 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.

Citations

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