Multiresolution optical flow computation of spherical images

Yoshihiko Mochizuki, Atsushi Imiya

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

4 Citations (Scopus)

Abstract

As an application of image analysis on Riemannian manifolds, we develop an accurate algorithm for the computation of optical flow of omni-directional images. To guarantee the accuracy and stability of image processing for spherical images, we introduce the Gaussian pyramid transform, that is, we develop variational optical flow computation with pyramid-transform-based multiresolution analysis for spherical images.

Original languageEnglish
Title of host publicationLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Pages348-355
Number of pages8
Volume6855 LNCS
EditionPART 2
DOIs
Publication statusPublished - 2011
Event14th International Conference on Computer Analysis of Images and Patterns, CAIP 2011 - Seville
Duration: 2011 Aug 292011 Aug 31

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
NumberPART 2
Volume6855 LNCS
ISSN (Print)03029743
ISSN (Electronic)16113349

Other

Other14th International Conference on Computer Analysis of Images and Patterns, CAIP 2011
CitySeville
Period11/8/2911/8/31

ASJC Scopus subject areas

  • Computer Science(all)
  • Theoretical Computer Science

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    Mochizuki, Y., & Imiya, A. (2011). Multiresolution optical flow computation of spherical images. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (PART 2 ed., Vol. 6855 LNCS, pp. 348-355). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 6855 LNCS, No. PART 2). https://doi.org/10.1007/978-3-642-23678-5_41