Spherical diffusion for scale-invariant keypoint detection in wide-angle images

Hansen, Peter I., Boles, Wageeh W., & Corke, Peter (2008) Spherical diffusion for scale-invariant keypoint detection in wide-angle images. In Digital Image Computing : Techniques and Applications, 1-3 December 2008, Canberra, Australia.

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Two variants of the SIFT algorithm are presented which operate on calibrated central projection wide-angle images characterised as having extreme radial distortion. Both define the scale-space kernel, termed the spherical Gaussian, as the solution of the heat diffusion equation on the unit sphere. Scale-space images are obtained as the convolution of the image mapped to the sphere with the spherical Gaussian which is shift invariant to pure rotation and the radial distortion in the original image. The first method termed sSIFT implements convolution in the spherical Fourier domain, and the second termed pSIFT approximates this process more efficiently in the spatial domain using stereographic projection. Results using real fisheye and equiangular catadioptric image sequences show improvements in the overall matching performance (recall vs 1-precision) of these methods versus SIFT, which treats the image as planar perspective.

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ID Code: 17796
Item Type: Conference Paper
Refereed: Yes
Additional URLs:
Keywords: Keypoint, Scale-invariant, Wide-angle, Fisheye, Wide-baseline, Spherical Diffusion
DOI: 10.1109/DICTA.2008.69
ISBN: 978-0-7695-3456-5
Subjects: Australian and New Zealand Standard Research Classification > INFORMATION AND COMPUTING SCIENCES (080000) > ARTIFICIAL INTELLIGENCE AND IMAGE PROCESSING (080100) > Computer Vision (080104)
Divisions: Past > QUT Faculties & Divisions > Faculty of Built Environment and Engineering
Past > Schools > School of Engineering Systems
Copyright Owner: Copyright 2008 IEEE
Copyright Statement: Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.
Deposited On: 16 Feb 2009 00:05
Last Modified: 29 Feb 2012 13:47

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