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http://dx.doi.org/10.7840/kics.2014.39A.8.453

Stereo Image Composition Using Poisson Object Editing  

Baek, Eu-Tteum (Department of Information and Communications Gwangju Institute of Science and Technology (GIST))
Ho, Yo-Sung (Department of Information and Communications Gwangju Institute of Science and Technology (GIST))
Publication Information
The Journal of Korean Institute of Communications and Information Sciences / v.39A, no.8, 2014 , pp. 453-458 More about this Journal
Abstract
In this paper, we propose a stereo image composition method based on Poisson image editing. If we synthesize images without considering their depth values, it may lead to unwanted consequences. When we segment an image into its background and foreground regions using Grabcut, we take into account their geometric positions to mix color tones; thus, the image is composited more naturally. After synthesizing images, we apply a blurring operation around object boundaries; then, the foreground object and background are composited more seamlessly. In addition, we can adjust the distance of the object by setting arbitrary depth values and generating right color and depth images automatically. Experimental results show that the proposed stereo image composition method provides naturally synthesized stereo images. Improved portions were subjectively confirmed as well.
Keywords
Poisson image editing; Grabcut; depth map composition; blurring; stereo image composition;
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