On optimal brightness functions for optical flow

Thomas S. Denney, Jerry L. Prince

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

Abstract

In the typical optical flow problem, the brightness function is an inherent part of the underlying physical process. In the case of magnetic resonance (MR) imaging of the heart, however, it is possible to modulate the brightness function using MR tagging techniques. Experimental evidence suggests that when a sinusoidal brightness function is used, there is an optimum frequency. In this paper, the reasons for an optimal frequency in one dimension are investigated by formulating the optical flow problem as an optimal linear smoothing problem. A method based on minimizing the theoretical smoothed error variance is proposed for finding the optimal frequency a priori. Simulations are presented for a Wiener process velocity that show the existence an optimal frequency and the ability of the proposed method to determine this frequency a priori.

Original languageEnglish (US)
Title of host publicationICASSP 1992 - 1992 International Conference on Acoustics, Speech, and Signal Processing
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages257-260
Number of pages4
ISBN (Electronic)0780305329
DOIs
StatePublished - Jan 1 1992
Event1992 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 1992 - San Francisco, United States
Duration: Mar 23 1992Mar 26 1992

Publication series

NameICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings
Volume3
ISSN (Print)1520-6149

Other

Other1992 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 1992
CountryUnited States
CitySan Francisco
Period3/23/923/26/92

ASJC Scopus subject areas

  • Software
  • Signal Processing
  • Electrical and Electronic Engineering

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    Denney, T. S., & Prince, J. L. (1992). On optimal brightness functions for optical flow. In ICASSP 1992 - 1992 International Conference on Acoustics, Speech, and Signal Processing (pp. 257-260). [226202] (ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings; Vol. 3). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICASSP.1992.226202