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  1. 3D Research
  2. 3D Research : Volume 4
  3. 3D Research : Volume 4, Issue 3, September 2013
  4. Efficient and high speed depth-based 2D to 3D video conversion
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3D Research : Volume 8
3D Research : Volume 7
3D Research : Volume 6
3D Research : Volume 5
3D Research : Volume 4
3D Research : Volume 4, Issue 4, December 2013
3D Research : Volume 4, Issue 3, September 2013
Region specific magnification on digital holograms at 100 frames per second
Semantic analysis based forms information retrieval and classification
3D affine registration using teaching-learning based optimization
Globally optimal rotation alignment of spherical surfaces with associated scalar values
Simulated real-time soft shadow in mixed reality using fuzzy logic
Efficient and high speed depth-based 2D to 3D video conversion
3D Research : Volume 4, Issue 2, June 2013
3D Research : Volume 4, Issue 1, March 2013
3D Research : Volume 3
3D Research : Volume 2
3D Research : Volume 1

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Efficient and high speed depth-based 2D to 3D video conversion

Content Provider SpringerLink
Author Somaiya, Amisha Himanshu Kulkarni, Ramesh K.
Copyright Year 2013
Abstract Stereoscopic video is the new era in video viewing and has wide applications such as medicine, satellite imaging and 3D Television. Such stereo content can be generated directly using S3D cameras. However, this approach requires expensive setup and hence converting monoscopic content to S3D becomes a viable approach. This paper proposes a depth-based algorithm for monoscopic to stereoscopic video conversion by using the y axis co-ordinates of the bottom-most pixels of foreground objects. This code can be used for arbitrary videos without prior database training. It does not face the limitations of single monocular depth cues nor does it combine depth cues, thus consuming less processing time without affecting the efficiency of the 3D video output. The algorithm, though not comparable to real-time, is faster than the other available 2D to 3D video conversion techniques in the average ratio of 1:8 to 1:20, essentially qualifying as high-speed. It is an automatic conversion scheme, hence directly gives the 3D video output without human intervention and with the above mentioned features becomes an ideal choice for efficient monoscopic to stereoscopic video conversion.
Starting Page 1
Ending Page 9
Page Count 9
File Format PDF
Journal 3D Research
Volume Number 4
Issue Number 3
e-ISSN 20926731
Language English
Publisher Springer Berlin Heidelberg
Publisher Date 2013-09-04
Publisher Place Berlin, Heidelberg
Access Restriction Subscribed
Subject Keyword Depth Map Generation Depth Image Based Rendering (DIBR) Stereoscopic Video 2D-to-3D Conversion 3D-TV 3D Video Signal, Image and Speech Processing Computer Imaging, Vision, Pattern Recognition and Graphics Optics, Optoelectronics, Plasmonics and Optical Devices
Content Type Text
Resource Type Article
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