An Efficient Multi-View Generation Method From a Single-View Video Based on Affine Geometry Information

Lim, Hanshin; Park, HyunWook

doi:10.1109/tmm.2014.2299771

Cited by 8 publications

(1 citation statement)

References 30 publications

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“…[2][3][4][5] However, most of the existing methods are efficient for constrained scenarios rather than variant ones. Currently, a large number of studies have been dedicated to depth information estimation methods, some of which have been proven to be highly effective.…”

Section: Introductionmentioning

confidence: 99%

Comprehensive depth estimation algorithm for efficient stereoscopic content creation in three-dimensional video systems

Jiang

2015

Opt. Eng

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Downloaded From: http://opticalengineering.spiedigitallibrary.org/ on 08/17/2015 Terms of Use: http://spiedigitallibrary.org/ss/TermsOfUse.aspxAbstract. Two-dimensional to three-dimensional (3-D) conversion in 3-D video applications has attracted great attention as it can alleviate the problem of stereoscopic content shortage. Depth estimation is an essential part of this conversion since the depth accuracy directly affects the quality of a stereoscopic image. In order to generate a perceptually reasonable depth map, a comprehensive depth estimation algorithm that considers the scenario type is presented. Based on the human visual system mechanism, which is sensitive to a change in the scenario, this study classifies the type of scenario into four classes according to the relationship between the movements of the camera and the object, and then leverages different strategies on the basis of the scenario type. The proposed strategies efficiently extract the depth information from different scenarios. In addition, the depth generation method for a scenario in which there is no motion, neither of the object nor the camera, is also suitable for the single image. Qualitative and quantitative evaluation results demonstrate that the proposed depth estimation algorithm is very effective for generating stereoscopic content and providing a realistic visual experience. © 2015 Society of Photo-Optical Instrumentation Engineers (SPIE) Downloaded From: http://opticalengineering.spiedigitallibrary.org/ on 08/17/2015 Terms of Use: http://spiedigitallibrary.org/ss/TermsOfUse.aspx Optical Engineering 073103-2 July 2015 • Vol. 54(7) Xu and Jiang: Comprehensive depth estimation algorithm for efficient stereoscopic content creation. . . Downloaded From: http://opticalengineering.spiedigitallibrary.org/ on 08/17/2015 Terms of Use: http://spiedigitallibrary.org/ss/TermsOfUse.aspx Optical Engineering 073103-3 July 2015 • Vol. 54(7) Xu and Jiang: Comprehensive depth estimation algorithm for efficient stereoscopic content creation. . . Downloaded From: http://opticalengineering.spiedigitallibrary.org/ on 08/17/2015 Terms of Use: http://spiedigitallibrary.org/ss/TermsOfUse.aspx Optical Engineering 073103-5 July 2015 • Vol. 54(7) Xu and Jiang: Comprehensive depth estimation algorithm for efficient stereoscopic content creation. . . Downloaded From: http://opticalengineering.spiedigitallibrary.org/ on 08/17/2015 Terms of Use: http://spiedigitallibrary.org/ss/TermsOfUse.aspx Optical Engineering 073103-10 July 2015 • Vol. 54(7) Xu and Jiang: Comprehensive depth estimation algorithm for efficient stereoscopic content creation. . . Downloaded From: http://opticalengineering.spiedigitallibrary.org/ on 08/17/2015 Terms of Use: http://spiedigitallibrary.org/ss/TermsOfUse.aspx Optical Engineering 073103-12 July 2015 • Vol. 54(7) Xu and Jiang: Comprehensive depth estimation algorithm for efficient stereoscopic content creation. . . Downloaded From: http://opticalengineering.spiedigitallibrary.org/ on 08/17/2015 Terms of Use: http://spiedigitallibrary...

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Section: Introductionmentioning

confidence: 99%

Comprehensive depth estimation algorithm for efficient stereoscopic content creation in three-dimensional video systems

Jiang

2015

Opt. Eng

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Automatic Depth Prediction from 2D Videos Based on Non-parametric Learning and Bi-directional Depth Propagation

Jiang

2018

3D Res

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A robust reconstruction method based on local Bayesian estimation combined with CURE clustering

Gu,

Kang,

Tang

et al. 2024

Information Sciences

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An Efficient Multi-View Generation Method From a Single-View Video Based on Affine Geometry Information

Cited by 8 publications

References 30 publications

Comprehensive depth estimation algorithm for efficient stereoscopic content creation in three-dimensional video systems

Comprehensive depth estimation algorithm for efficient stereoscopic content creation in three-dimensional video systems

Automatic Depth Prediction from 2D Videos Based on Non-parametric Learning and Bi-directional Depth Propagation

A robust reconstruction method based on local Bayesian estimation combined with CURE clustering

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