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Image Mosaicing using Cylindrical Mapping

S M Vaitheeswaran

Abstract


The objective of this paper is to provide extended field of view for aerial surveillance in MAV’s. Aerial surveillance on unmanned flying vehicles using a single monocular camera is a trade-off between the level of detail obtained at low altitudes and degree of coverage obtained by flying the vehicle at high altitudes. The effective footprint of the camera is smaller if the aerial vehicle flies at higher altitudes. On the other hand, the region can be quickly searched from a higher altitude. The demand for high detail and wider coverage can be satisfied using Image Mosaicing i.e. the stitching of selected frames of a video by estimating the camera motion between the frames and thereby registering successive frames of the video to arrive at the mosaic.

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References


H. Bay, T. Tuytelaars, and L. Van Gool. “Surf: Speeded up robust features”. In The ninth European Conference on Computer Vision, 2006.

Bin He, Gang Zhao, Qifang Liu: “Panoramic Video Stitching in Multi-Camera Surveillance System”. IEEE volume number: 978-1-4244-9630-3/10/ $26.00©2010 IEEE.

Richard Szeliski: Image Alignment and Stitching,Technical Report MSR-TR-2004-92.

Matthew Brown, David G. Lowe : “ Automatic Panoramic Image Stitching using invariant Features”. International Journal of Computer Vision (IJCV) 74(1):59-73.

Peter J. Burt, Edward H. Adelson : “ A Multi resolution Spline with Application to Image Mosaics”. ACM Trans. Graph. (TOG 1983) 2(4):217-236.

P.Saravanan, Narayanan .C.K., P.V.S.S Prakash, and Prabhakara Rao .G.V, “Techniques for Video Mosaicing”. Proceedings of world academy of science, engineering and technology volume 5 april 2005 ISSN 1307-6884




DOI: http://dx.doi.org/10.21535%2FProICIUS.2013.v9.212

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