Drag-and-drop pasting
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 …
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 …
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.