3D Optical Flow Estimation Combining 3D Census Signature and Total Variation Regularization

Sandeep Manandhar, Patrick Bouthemy, Eric Welf, Philippe Roudot, Charles Kervrann

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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.

Original languageEnglish (US)
Title of host publicationISBI 2020 - 2020 IEEE International Symposium on Biomedical Imaging
PublisherIEEE Computer Society
Pages965-968
Number of pages4
ISBN (Electronic)9781538693308
DOIs
StatePublished - Apr 2020
Event17th IEEE International Symposium on Biomedical Imaging, ISBI 2020 - Iowa City, United States
Duration: Apr 3 2020Apr 7 2020

Publication series

NameProceedings - International Symposium on Biomedical Imaging
Volume2020-April
ISSN (Print)1945-7928
ISSN (Electronic)1945-8452

Conference

Conference17th IEEE International Symposium on Biomedical Imaging, ISBI 2020
CountryUnited States
CityIowa City
Period4/3/204/7/20

Keywords

  • 3D optical flow
  • Census signature
  • fluorescence microscopy
  • TV regularization

ASJC Scopus subject areas

  • Biomedical Engineering
  • Radiology Nuclear Medicine and imaging

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  • Cite this

    Manandhar, S., Bouthemy, P., Welf, E., Roudot, P., & Kervrann, C. (2020). 3D Optical Flow Estimation Combining 3D Census Signature and Total Variation Regularization. In ISBI 2020 - 2020 IEEE International Symposium on Biomedical Imaging (pp. 965-968). [9098690] (Proceedings - International Symposium on Biomedical Imaging; Vol. 2020-April). IEEE Computer Society. https://doi.org/10.1109/ISBI45749.2020.9098690