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Interactive Digital Photomontage (2004)
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| Venue: | ACM TRANS. GRAPH |
| Citations: | 300 - 17 self |
BibTeX
@ARTICLE{Agarwala04interactivedigital,
author = {Aseem Agarwala and Mira Dontcheva and Maneesh Agrawala and Steven Drucker and Alex Colburn and Brian Curless and David Salesin and Michael Cohen},
title = {Interactive Digital Photomontage},
journal = {ACM TRANS. GRAPH},
year = {2004},
volume = {23},
pages = {294--302}
}
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Abstract
We describe an interactive, computer-assisted framework for combining parts of a set of photographs into a single composite picture, a process we call "digital photomontage." Our framework makes use of two techniques primarily: graph-cut optimization, to choose good seams within the constituent images so that they can be combined as seamlessly as possible; and gradient-domain fusion, a process based on Poisson equations, to further reduce any remaining visible artifacts in the composite. Also central to the framework is a suite of interactive tools that allow the user to specify a variety of high-level image objectives, either globally across the image, or locally through a painting-style interface. Image objectives are applied independently at each pixel location and generally involve a function of the pixel values (such as "maximum contrast") drawn from that same location in the set of source images. Typically, a user applies a series of image objectives iteratively in order to create a finished composite. The power of this framework lies in its generality; we show how it can be used for a wide variety of applications, including "selective composites" (for instance, group photos in which everyone looks their best), relighting, extended depth of field, panoramic stitching, clean-plate production, stroboscopic visualization of movement, and time-lapse mosaics.
Keyphrases
interactive digital photomontage image objective graph-cut optimization digital photomontage high-level image objective stroboscopic visualization computer-assisted framework selective composite finished composite constituent image maximum contrast pixel location panoramic stitching source image clean-plate production interactive tool gradient-domain fusion good seam poisson equation single composite picture visible artifact painting-style interface time-lapse mosaic wide variety group photo pixel value
