DocumentCode :
2914955
Title :
Constructing image panoramas using dual-homography warping
Author :
Gao, Junhong ; Kim, Seon Joo ; Brown, Michael S.
Author_Institution :
Sch. of Comput., Nat. Univ. of Singapore, Singapore, Singapore
fYear :
2011
fDate :
20-25 June 2011
Firstpage :
49
Lastpage :
56
Abstract :
This paper describes a method to construct seamless image mosaics of a panoramic scene containing two predominate planes: a distant back plane and a ground plane that sweeps out from the camera´s location. While this type of panorama can be stitched when the camera is carefully rotated about its optical center, such ideal scene capture is hard to perform correctly. Existing techniques use a single homography per image to perform alignment followed by seam cutting or image blending to hide inevitable alignments artifacts. In this paper, we demonstrate how to use two homographies per image to produce a more seamless image. Specifically, our approach blends the homographies in the alignment procedure to perform a nonlinear warping. Once the images are geometrically stitched, they are further processed to blend seams and reduce curvilinear visual artifacts due to the nonlinear warping. As demonstrated in our paper, our procedure is able to produce results for this type of scene where current state-of-the-art techniques fail.
Keywords :
image segmentation; alignment procedure; curvilinear visual artifact reduction; distant back plane; dual-homography warping; ground plane; ideal scene capture; image blending; image panoramas; nonlinear warping; optical center; predominate planes; seam cutting; seamless image mosaics; Cameras; Estimation; Ice; Image edge detection; Mercury (metals); Software;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computer Vision and Pattern Recognition (CVPR), 2011 IEEE Conference on
Conference_Location :
Providence, RI
ISSN :
1063-6919
Print_ISBN :
978-1-4577-0394-2
Type :
conf
DOI :
10.1109/CVPR.2011.5995433
Filename :
5995433
Link To Document :
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