A 2D to 3D video converter using mean-shift optical flow information

Hui Yun Lee, Jyh Da Wei

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

Rapid progress of 3D modeling and presentation techniques not only affects the entertainment industry but also enriches our daily life. People can display and enjoy 3D media conveniently nowadays. However, how to generate 3D media contents economically still deserves further research. In this paper, we propose a unique method to convert 3D video from their original 2D versions. This method involves using optical flow information to calculate the depth of objects, and smoothing the change of the depth among a mean-shift based object. The converting results will be shown by rotating the angles of view.

Original languageEnglish
Title of host publicationProceedings of 4th IEEE International Conference on Applied System Innovation 2018, ICASI 2018
EditorsArtde Donald Kin-Tak Lam, Stephen D. Prior, Teen-Hang Meen
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages980-983
Number of pages4
ISBN (Electronic)9781538643426
DOIs
StatePublished - 22 06 2018
Event4th IEEE International Conference on Applied System Innovation, ICASI 2018 - Chiba, Japan
Duration: 13 04 201817 04 2018

Publication series

NameProceedings of 4th IEEE International Conference on Applied System Innovation 2018, ICASI 2018

Conference

Conference4th IEEE International Conference on Applied System Innovation, ICASI 2018
Country/TerritoryJapan
CityChiba
Period13/04/1817/04/18

Bibliographical note

Publisher Copyright:
© 2018 IEEE.

Keywords

  • 3D telepresence
  • 3D visual techniques
  • Mean shift
  • Optical flow

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