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

Fingerprint

Optical flows
Optical Flow
Multiresolution
Pyramid
Multiresolution analysis
Transform
Image analysis
Image processing
Multiresolution Analysis
Mathematical transformations
Image Analysis
Riemannian Manifold
Image Processing

ASJC Scopus subject areas

  • Computer Science(all)
  • Theoretical Computer Science

Cite this

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

Multiresolution optical flow computation of spherical images. / Mochizuki, Yoshihiko; Imiya, Atsushi.

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Vol. 6855 LNCS PART 2. ed. 2011. p. 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).

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

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 edn, vol. 6855 LNCS, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), no. PART 2, vol. 6855 LNCS, pp. 348-355, 14th International Conference on Computer Analysis of Images and Patterns, CAIP 2011, Seville, 11/8/29. https://doi.org/10.1007/978-3-642-23678-5_41
Mochizuki Y, Imiya A. 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. 2011. p. 348-355. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); PART 2). https://doi.org/10.1007/978-3-642-23678-5_41
Mochizuki, Yoshihiko ; Imiya, Atsushi. / Multiresolution optical flow computation of spherical images. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Vol. 6855 LNCS PART 2. ed. 2011. pp. 348-355 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); PART 2).
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