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Volume 26 Issue 6
November  2011
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Xiao-Hui Bie, Hao-Da Huang, Wen-Cheng Wang. Free Appearance-Editing with Improved Poisson Image Cloning[J]. Journal of Computer Science and Technology, 2011, 26(6): 1011-1016. DOI: 10.1007/s11390-011-1197-5
Citation: Xiao-Hui Bie, Hao-Da Huang, Wen-Cheng Wang. Free Appearance-Editing with Improved Poisson Image Cloning[J]. Journal of Computer Science and Technology, 2011, 26(6): 1011-1016. DOI: 10.1007/s11390-011-1197-5
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Free Appearance-Editing with Improved Poisson Image Cloning

  • 1. State Key Laboratory of Computer Science, Institute of Software, Chinese Academy of Sciences, Beijing 100190, China;
    2. Microsoft Research Asia, Beijing 100190, China;
    3. Graduate University of Chinese Academy of Sciences, Beijing 100190, China

Funds: This work was partly supported by the National Natural Science Foundation of China under Grant Nos. 60773026, 60873182, 60833007.
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  • Author Bio:

    Hao-Da Huang received his Master's degree from the Institute of Software, Chinese Academy of Sciences in 2007. He is currently an associate researcher of Microsoft Research Asia. His research inte-rests include facial performance cap-ture, hand deformation, image analy-sis and editing.

    Wen-Cheng Wang received his Ph.D. degree from the Institute of Software, Chinese Academy of Sci-ences in 1998, where he is currently a professor of the State Key Lab-oratory of Computer Science. His research interests include computer graphics, visualization, virtual reali-ty and expressive rendering and edit-ing.

  • Received Date: December 28, 2010
  • Revised Date: September 04, 2011
  • Published Date: November 04, 2011
    Abstract
  • In this paper, we present a new edit tool for the user to conveniently preserve or freely edit the object appearance during seamless image composition. We observe that though Poisson image editing is effective for seamless image composition. Its color bleeding (the color of the target image is propagated into the source image) is not always desired in applications, and it provides no way to allow the user to edit the appearance of the source image. To make it more flexible and practical, we introduce new energy terms to control the appearance change, and integrate them into the Poisson image editing framework. The new energy function could still be realized using efficient sparse linear solvers, and the user can interactively refine the constraints. With the new tool, the user can enjoy not only seamless image composition, but also the flexibility to preserve or manipulate the appearance of the source image at the same time. This provides more potential for creating new images. Experimental results demonstrate the effectiveness of our new edit tool, with similar time cost to the original Poisson image editing.
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    • References (17)
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