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

01/08/2013

∙

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.

READ FULL TEXT

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

Optical Flow on Evolving Surfaces with Space and Time Regularisation

A spectral optical flow method for determining velocities from digital imagery

A Numerical Framework for Efficient Motion Estimation on Evolving Sphere-Like Surfaces based on Brightness and Mass Conservation Laws

Optical Flow on Evolving Sphere-Like Surfaces

Decomposition of Optical Flow on the Sphere

Mapping the spatiotemporal dynamics of calcium signaling in cellular neural networks using optical flow

Incremental Nonlinear Dynamic Inversion based Optical Flow Control for Flying Robots: An Efficient Data-driven Approach

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

Related Research

Optical Flow on Evolving Surfaces with Space and Time Regularisation

A spectral optical flow method for determining velocities from digital imagery

A Numerical Framework for Efficient Motion Estimation on Evolving Sphere-Like Surfaces based on Brightness and Mass Conservation Laws

Optical Flow on Evolving Sphere-Like Surfaces

Decomposition of Optical Flow on the Sphere

Mapping the spatiotemporal dynamics of calcium signaling in cellular neural networks using optical flow

Incremental Nonlinear Dynamic Inversion based Optical Flow Control for Flying Robots: An Efficient Data-driven Approach