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Type: Conference paper
Title: From visual query to visual portrayal
Author: Shahrokni, A.
Mei, C.
Torr, P.
Reid, I.
Citation: Proceedings of the British Machine Vision Conference 1-4 September 2008 / M. Everingham and C. Needham (eds.): pp.117.1-117.10
Publisher: BMVA Press
Publisher Place: UK
Issue Date: 2008
ISBN: 9781901725360
Conference Name: British Machine Vision Conference (19th : 2008 : Leeds, UK)
Editor: Everingham, M.
Needham, C.
Fraile, R.
Statement of
Ali Shahrokni, Christopher Mei, Philip H.S. Torr, Ian D. Reid
Abstract: In this paper we show how online images can be automatically exploited for scene visualization and reconstruction starting from a mere visual query provided by the user. A visual query is used to retrieve images of a landmark place using a visual search engine. These images are used to reconstruct robust 3 D features and camera poses in projective space. Novel views are then rendered corresponding to a virtual camera ying smoothly through the projective space by triangulation of the projected points in the output view. We introduce a method to fuse the rendered novel views from all input images at each virtual view point by computing their intrinsic image and illuminations. This approach allows us to remove the occlusions and maintain consistent and controlled illumination throughout the rendered sequence. We demonstrate the performance of our prototype system on two landmark structures.
Rights: © BMVA August 2008
DOI: 10.5244/C.22.117
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Appears in Collections:Aurora harvest
Computer Science publications

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