@inproceedings{c7c50dfe98aa4064a160a23bff731fc6,
title = "3D Optical Flow Estimation Combining 3D Census Signature and Total Variation Regularization",
abstract = "We present a 3D optical flow method for 3D fluorescence image sequences which preserves discontinuities in the computed flow field. We propose to minimize an energy function composed of a linearized 3D Census signature-based data term and a total variational (TV) regularizer. To demonstrate the efficiency of our method, we have applied it to real sequences depicting collagen network, where the motion field is expected to be discontinuous. We also favorably compare our results with two other motion estimation methods.",
keywords = "3D optical flow, Census signature, TV regularization, fluorescence microscopy",
author = "Sandeep Manandhar and Patrick Bouthemy and Eric Welf and Philippe Roudot and Charles Kervrann",
note = "Publisher Copyright: {\textcopyright} 2020 IEEE.; 17th IEEE International Symposium on Biomedical Imaging, ISBI 2020 ; Conference date: 03-04-2020 Through 07-04-2020",
year = "2020",
month = apr,
doi = "10.1109/ISBI45749.2020.9098690",
language = "English (US)",
series = "Proceedings - International Symposium on Biomedical Imaging",
publisher = "IEEE Computer Society",
pages = "965--968",
booktitle = "ISBI 2020 - 2020 IEEE International Symposium on Biomedical Imaging",
}