Publication Type
Conference Proceeding Article
Version
publishedVersion
Publication Date
10-2013
Abstract
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.
Keywords
Depth adjustments, Disocclusion, Global optimization algorithm, High quality, Image resizing, Multi-label optimizations, Non-homogeneous, Stereo-image
Discipline
Databases and Information Systems | Theory and Algorithms
Research Areas
Information Systems and Management
Publication
Proceedings of the 21st ACM international conference on Multimedia, Barcelona, Spain, 2013 Oct 21-25
First Page
677
Last Page
680
ISBN
9781450324045
Identifier
10.1145/2502081.2502177
Publisher
ACM
City or Country
New York
Citation
YAN, Tao; HE, Shengfeng; LAU, Rynson W.H.; and Xu, Yun.
Consistent stereo image editing. (2013). Proceedings of the 21st ACM international conference on Multimedia, Barcelona, Spain, 2013 Oct 21-25. 677-680.
Available at: https://ink.library.smu.edu.sg/sis_research/8422
Copyright Owner and License
Authors
Creative Commons License
This work is licensed under a Creative Commons Attribution-NonCommercial-No Derivative Works 4.0 International License.
Additional URL
https://doi.org/10.1145/2502081.2502177