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Anaglyph 3D stereoscopic visualization of 2D video based on fundamental matrix
Umeå University, Faculty of Science and Technology, Department of Applied Physics and Electronics. (immersive interaction lab.,)
Umeå University, Faculty of Science and Technology, Department of Applied Physics and Electronics. (immersive interaction lab.,)
Umeå University, Faculty of Science and Technology, Department of Applied Physics and Electronics. (immersive interaction lab.,)
Royal Institute of Technology (KTH), Sweden..
2013 (English)In: Proceedings of 2013 International Conferenceon Virtual Reality and Visualization (ICVRV 2013), 14-15 September 2013, Xi'an, Shaanxi, China, 2013Conference paper, Published paper (Refereed)
Abstract [en]

In this paper, we propose a simple Anaglyph 3Dstereo generation algorithm from 2D video sequence with monocularcamera. In our novel approach we employ camera poseestimation method to directly generate stereoscopic 3D from 2Dvideo without building depth map explicitly. Our cost effectivemethod is suitable for arbitrary real-world video sequence andproduces smooth results. We use image stitching based on planecorrespondence using fundamental matrix. To this end we alsodemonstrate that correspondence plane image stitching based onHomography matrix only cannot generate better result. Furthermore,we utilize the structure from motion (with fundamentalmatrix) based reconstructed camera pose model to accomplishvisual anaglyph 3D illusion. The proposed approach demonstratesa very good performance for most of the video sequences.

Place, publisher, year, edition, pages
2013.
Keyword [en]
Anaglyph, 3D video, 2D to 3D conversion.
National Category
Embedded Systems Computer Vision and Robotics (Autonomous Systems) Human Computer Interaction
Identifiers
URN: urn:nbn:se:umu:diva-83874OAI: oai:DiVA.org:umu-83874DiVA: diva2:677806
Conference
International Conferenceon Virtual Reality and Visualization (ICVRV 2013),
Available from: 2013-12-10 Created: 2013-12-10 Last updated: 2016-02-23Bibliographically approved

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Authority records BETA

Lu, Zhihanur Réhman, ShafiqKhan, Muhammad Sikandar LalLi, Haibo

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Lu, Zhihanur Réhman, ShafiqKhan, Muhammad Sikandar LalLi, Haibo
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Department of Applied Physics and Electronics
Embedded SystemsComputer Vision and Robotics (Autonomous Systems)Human Computer Interaction

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CiteExportLink to record
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Citation style
  • apa
  • ieee
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  • Other style
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  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
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  • html
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  • asciidoc
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