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

Clemens Kirisits, Lukas F. Lang, Otmar Scherzer
<span title="">2013</span> <i title="Springer Berlin Heidelberg"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/2w3awgokqne6te4nvlofavy5a4" style="color: black;">Lecture Notes in Computer Science</a> </i> &nbsp;
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.
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1007/978-3-642-38267-3_21">doi:10.1007/978-3-642-38267-3_21</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/ffzilq47bnhixf23fy4hci4j3q">fatcat:ffzilq47bnhixf23fy4hci4j3q</a> </span>
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