Consistent stereo image editing

Consistent stereo image editing

Stereo images and videos are very popular in recent years, and techniques for processing this media are attracting a lot of attention. In this paper, we extend the shift-map method for stereo image editing. Our method simultaneously processes the left and right images on pixel level using a global o...

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Bibliographic Details
Main Authors: YAN, Tao, HE, Shengfeng, LAU, Rynson W.H., Xu, Yun
Format: text
Language:English
Published: Institutional Knowledge at Singapore Management University 2013
Subjects:
Depth adjustments
Disocclusion
Global optimization algorithm
High quality
Image resizing
Multi-label optimizations
Non-homogeneous
Stereo-image
Databases and Information Systems
Theory and Algorithms
Online Access:https://ink.library.smu.edu.sg/sis_research/8422
https://ink.library.smu.edu.sg/context/sis_research/article/9425/viewcontent/consistent.pdf
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Institution: Singapore Management University
Language: English
Description
Summary:Stereo images and videos are very popular in recent years, and techniques for processing this media are attracting a lot of attention. In this paper, we extend the shift-map method for stereo image editing. Our method simultaneously processes the left and right images on pixel level using a global optimization algorithm. It enforces photo consistence between the two images and preserves 3D scene structures. It also addresses the occlusion and disocclusion problem, which may enable many stereo image editing functions, such as depth mapping, object depth adjustment and non-homogeneous image resizing. Our experiments show that the proposed method produces high quality results in various editing functions.

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