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Please use this identifier to cite or link to this item: http://dspace.library.iitb.ac.in/jspui/handle/10054/565

Title: A matte-less, variational approach to automatic scene compositing
Authors: RAMAN, SHANMUGANATHAN
CHAUDHURI, SUBHASIS
Keywords: computer vision
image colour analysis
image sampling
image sequences
Issue Date: 2007
Publisher: IEEE
Citation: Proceedings of the IEEE 11th International Conference on Computer Vision, Rio de Janeiro, Brazil, 14-21 Octomber 2007, 1-6
Abstract: In this paper, we consider the problem of compositing a scene from multiple images. Multiple images, for example, can be obtained by varying the exposure of the camera, by changing the object at focus, or by simply sampling a video sequence at arbitrary time instants. We develop this problem in an optimization framework and then adopt a variational approach to derive a generalized algorithm which will be able to solve diverse applications depending on the nature of the input images. Our approach has distinct advantages over the existing digital compositing techniques, such as alpha matting and alpha blending, which require an explicit preparation of the matte while there is no such requirement in the proposed technique. We demonstrate the usefulness of our approach through results from diverse applications in computer vision.
URI: 10.1109/ICCV.2007.4408901
http://hdl.handle.net/10054/565
http://dspace.library.iitb.ac.in/xmlui/handle/10054/565
ISBN: 978-1-4244-1631-8
Appears in Collections:Proceedings papers

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