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.
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Kirisits, C., Lang, L.F., Scherzer, O. (2013). Optical Flow on Evolving Surfaces with an Application to the Analysis of 4D Microscopy Data. In: Kuijper, A., Bredies, K., Pock, T., Bischof, H. (eds) Scale Space and Variational Methods in Computer Vision. SSVM 2013. Lecture Notes in Computer Science, vol 7893. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-38267-3_21
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DOI: https://doi.org/10.1007/978-3-642-38267-3_21
Publisher Name: Springer, Berlin, Heidelberg
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