On Detection of Edges and Interest Points for Omnidirectional Images in Spherial Domain

2008-01-01
Serce, Hakan
Bastanlar, Yalin
Temizel, Alptekin
Yardimci, Yasemin
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This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.
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In this study, the principle that any single-viewpoint catadioptric projection is equivalent to a spherical projection followed by a point projection is explained. Applicability of Gaussian smoothing, line detection and interest point detection using this principle and stereographic projection is investigated. Particularly, Scale Invariant Feature Transform (SIFT) is emphasized.
Three dimensional displays, Computer vision, Feature extraction, Transforms , Image edge detection, Machine vision
https://hdl.handle.net/11511/32249
Graduate School of Informatics, Conference / Seminar

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Citation Formats
H. Serce, Y. Bastanlar, A. Temizel, and Y. Yardimci, “On Detection of Edges and Interest Points for Omnidirectional Images in Spherial Domain,” 2008, Accessed: 00, 2020. [Online]. Available: https://hdl.handle.net/11511/32249.
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