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.
@article{arxiv.1310.0322,
title = {Optical Flow on Evolving Surfaces with Space and Time Regularisation},
author = {Clemens Kirisits and Lukas F. Lang and Otmar Scherzer},
journal= {arXiv preprint arXiv:1310.0322},
year = {2014}
}
Comments
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