Image Stitching Using Non-Extensive Statistics
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2019-09-05
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CARDOSO, E.
RISCH, H. A.
LAHERAS, L. P.
LUIZ, V.
RODRIGUES, P. S.
Guilherme Lopes
RISCH, H. A.
LAHERAS, L. P.
LUIZ, V.
RODRIGUES, P. S.
Guilherme Lopes
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Proceedings - 15th Workshop of Computer Vision, WVC 2019
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CARDOSO, E.; RISCH, H. A.; LAHERAS, L. P.; LUIZ, V.; RODRIGUES, P. S.; LOPES, G. Image Stitching Using Non-Extensive Statistics. Proceedings - 15th Workshop of Computer Vision, WVC 2019, p. 84-88, sept. 2019.
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© 2019 IEEE.Nowadays there are different ways to make image stitching with help of Fiducial Point Descriptors (FPD), whose find the matches between images for an application, such as SIFT and calculates the homography with RANSAC. However, by finding the right match when we have images on differents points of view could be difficult. This paper introduces the application of q-SFT, a newest variation of SFT in a stitch algorithm, that can recognize large viewpoint changes called as LVC.