Please use this identifier to cite or link to this item: http://hdl.handle.net/2440/109072
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Type: Conference paper
Title: Speeded-up SURF: Design of an efficient multiscale feature detector
Author: Schweiger, F.
Schroth, G.
Huitl, R.
Latif, Y.
Steinbach, E.
Citation: Proceedings of the 2013 20th IEEE International Conference on Image Processing, 2013 / pp.3475-3478
Publisher: IEEE
Publisher Place: USA
Issue Date: 2013
Series/Report no.: IEEE International Conference on Image Processing ICIP
ISBN: 9781479923410
ISSN: 1522-4880
2381-8549
Conference Name: 2013 20th IEEE International Conference on Image Processing (ICIP 2013) (15 Sep 2013 - 18 Sep 2013 : Melbourne, VIC, Australia)
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Responsibility: 
Florian Schweiger, Georg Schroth, Robert Huitl, Yasir Latif, Eckehard Steinbach
Abstract: We present a fast and highly performant multiscale feature detector which is based on the established SURF algorithm. The additional speed-up is achieved by linearizing the SURF detector in a way that its detection characteristics are preserved. Our evaluations show that the proposed suSURF detector is roughly 30% faster without significant sacrifices in feature quality. The key points detected by suSURF are compatible with standard SURF features and those found by other determinant of Hessian (DoH) based detectors.
Keywords: Feature detection, scale-invariance, SURF, SIFT, fast implementation
Rights: © 2013 IEEE
RMID: 0030064422
DOI: 10.1109/ICIP.2013.6738717
Appears in Collections:Computer Science publications

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