Drag-and-drop pasting
Jiaya Jia, Jian Sun, Chi-Keung Tang, Heung-Yeung Shum
In ACM Transactions on Graphics, 25(3), July 2006.
Abstract: In this paper, we present a user-friendly system for seamless image composition, which we call drag-and-drop pasting. We observe that for Poisson image editing [Perez et al. 2003] to work well, the user must carefully draw a boundary on the source image to indicate the region of interest, such that salient structures in source and target images do not conflict with each other along the boundary. To make Poisson image editing more practical and easy to use, we propose a new objective function to compute an optimized boundary condition. A shortest closed-path algorithm is designed to search for the location of the boundary. Moreover, to faithfully preserve the object's fractional boundary, we construct a blended guidance field to incorporate the object's alpha matte. To use our system, the user needs only to simply outline a region of interest in the source image, and then drag and drop it onto the target image. Experimental results demonstrate the effectiveness of our "drag-and-drop pasting" system.
Keyword(s): Poisson image editing, image compositing, image processing
Article URL: http://doi.acm.org/10.1145/1141911.1141934
BibTeX format:
@article{Jia:2006:DP,
  author = {Jiaya Jia and Jian Sun and Chi-Keung Tang and Heung-Yeung Shum},
  title = {Drag-and-drop pasting},
  journal = {ACM Transactions on Graphics},
  volume = {25},
  number = {3},
  pages = {631--637},
  month = jul,
  year = {2006},
}
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