OCCVJun 10, 2015

Optical Flow on Evolving Sphere-Like Surfaces

arXiv:1506.03358v15 citations
AI Analysis

This work addresses a domain-specific problem for biomedical imaging researchers, focusing on incremental improvements in optical flow methods for cell tracking.

The paper tackled the problem of estimating cell motion on evolving sphere-like surfaces in time-lapse microscopy images of zebrafish embryos, resulting in a variational solution using vector spherical harmonics with numerical results presented.

In this work we consider optical flow on evolving Riemannian 2-manifolds which can be parametrised from the 2-sphere. Our main motivation is to estimate cell motion in time-lapse volumetric microscopy images depicting fluorescently labelled cells of a live zebrafish embryo. We exploit the fact that the recorded cells float on the surface of the embryo and allow for the extraction of an image sequence together with a sphere-like surface. We solve the resulting variational problem by means of a Galerkin method based on vector spherical harmonics and present numerical results computed from the aforementioned microscopy data.

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