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ICASSP
2011
IEEE

Alignment of cubic-panorama image datasets using epipolar geometry

13 years 2 months ago
Alignment of cubic-panorama image datasets using epipolar geometry
—Panoramic images are a new type of visual data that provide many new possibilities as compared to the classic planar images. Tele-presence and virtual navigation are examples of such interesting applications. In order to enable smooth navigation across different view points, we propose a method for aligning cubic-panorama image datasets by using the concept of epipolar geometry. Unlike existing methods, which are limited to a pair of panoramas, our approach is accurate and applicable on datasets with large number of panoramic images. Also for the first time, a measure is introduced in order to enable objective evaluations.
Saeed Salehi, Eric Dubois
Added 21 Aug 2011
Updated 21 Aug 2011
Type Journal
Year 2011
Where ICASSP
Authors Saeed Salehi, Eric Dubois
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