Real-time stereoscopic conversion with adaptable viewing distance at personal stereoscopic viewing devices

Ilkwon Park, Hyeran Byun

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


This paper proposes the real-time stereoscopic conversion method with adaptable viewing distance by the viewer's eye detection at personal stereoscopic viewing devices. The distance between a screen and viewer is often changed by moving a personal display or moving head position. It causes a visual discomfort and low quality stereoscopy. Our proposed method is divided into two parts; eye detection part to acquire viewer's eye positions and stereoscopic generation part in real-time. In the first part, we can measure an interocular distance of a single viewer by the proposed eye detection method and also calculate the distance between a screen and a viewer by using the principle of stereoscopic generation. In the other part, we propose an efficient motion-based approach for conversion from 2D video to stereoscopic video. The disparity between left image and right image is adaptively adjusted by viewer's interocular distance. Adaptation time for a 3D immersion during 3D stereoscopic viewing is remarkably reduced and stereoscopy is personally optimized. Therefore, our proposed system can offer optimized stereoscopic conversion and more freedom of viewer's head considering the distance between a screen and a viewer through the proposed eye detection.

Original languageEnglish
Title of host publicationHuman Interface and the Management of Information
Subtitle of host publicationMethods, Techniques and Tools in Information Design - Symposium on Human Interface 2007. Held as Part of HCI International 2007, Proceedings
PublisherSpringer Verlag
Number of pages9
EditionPART 1
ISBN (Print)9783540733447
Publication statusPublished - 2007
EventSymposium on Human Interface 2007 - Beijing, China
Duration: 2007 Jul 222007 Jul 27

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
NumberPART 1
Volume4557 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349


OtherSymposium on Human Interface 2007

All Science Journal Classification (ASJC) codes

  • Theoretical Computer Science
  • Computer Science(all)


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