Wide-angle visual feature matching for outdoor localization

Hansen, Peter I., Corke, Peter, & Boles, Wageeh (2010) Wide-angle visual feature matching for outdoor localization. International Journal of Robotics Research, 29(2/3), pp. 267-297.

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Wide-angle images exhibit significant distortion for which existing scale-space detectors such as the scale-invariant feature transform (SIFT) are inappropriate. The required scale-space images for feature detection are correctly obtained through the convolution of the image, mapped to the sphere, with the spherical Gaussian. A new visual key-point detector, based on this principle, is developed and several computational approaches to the convolution are investigated in both the spatial and frequency domain. In particular, a close approximation is developed that has comparable computation time to conventional SIFT but with improved matching performance. Results are presented for monocular wide-angle outdoor image sequences obtained using fisheye and equiangular catadioptric cameras. We evaluate the overall matching performance (recall versus 1-precision) of these methods compared to conventional SIFT. We also demonstrate the use of the technique for variable frame-rate visual odometry and its application to place recognition.

Impact and interest:

18 citations in Scopus
15 citations in Web of Science®
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331 since deposited on 18 Aug 2010
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ID Code: 33736
Item Type: Journal Article
Refereed: Yes
Keywords: features, keypoints, scale-space, matching, wide-angle , fisheye, catadioptric, spherical diffusion, visual odometry, place recognition
DOI: 10.1177/0278364909356484
Subjects: Australian and New Zealand Standard Research Classification > ENGINEERING (090000) > ELECTRICAL AND ELECTRONIC ENGINEERING (090600)
Divisions: Past > QUT Faculties & Divisions > Faculty of Built Environment and Engineering
Deposited On: 18 Aug 2010 04:21
Last Modified: 22 Jun 2017 14:42

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