Please use this identifier to cite or link to this item:
|Scopus||Web of Science®||Altmetric|
|Title:||From visual query to visual portrayal|
|Citation:||Proceedings of the British Machine Vision Conference 1-4 September 2008 / M. Everingham and C. Needham (eds.): pp.117.1-117.10|
|Conference Name:||British Machine Vision Conference (19th : 2008 : Leeds, UK)|
|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|
|Appears in Collections:||Aurora harvest|
Computer Science publications
Files in This Item:
There are no files associated with this item.
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.