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231224s2013 xx |||||o 00| ||eng c |
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|a 10.1109/TIP.2012.2230011
|2 doi
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|a eng
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| 100 |
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|a Takacs, Gabriel
|e verfasserin
|4 aut
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|a Fast computation of rotation-invariant image features by an approximate radial gradient transform
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|c 2013
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|a Text
|b txt
|2 rdacontent
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|a ƒaComputermedien
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|2 rdamedia
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|a ƒa Online-Ressource
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|a Date Completed 08.01.2014
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|a Date Revised 29.05.2013
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|a published: Print-Electronic
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|a Citation Status MEDLINE
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|a We present the radial gradient transform (RGT) and a fast approximation, the approximate RGT (ARGT). We analyze the effects of the approximation on gradient quantization and histogramming. The ARGT is incorporated into the rotation-invariant fast feature (RIFF) algorithm. We demonstrate that, using the ARGT, RIFF extracts features 16× faster than SURF while achieving a similar performance for image matching and retrieval
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|a Journal Article
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|a Chandrasekhar, Vijay
|e verfasserin
|4 aut
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| 700 |
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|a Tsai, Sam S
|e verfasserin
|4 aut
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| 700 |
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|a Chen, David
|e verfasserin
|4 aut
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| 700 |
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|a Grzeszczuk, Radek
|e verfasserin
|4 aut
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| 700 |
1 |
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|a Girod, Bernd
|e verfasserin
|4 aut
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| 773 |
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|i Enthalten in
|t IEEE transactions on image processing : a publication of the IEEE Signal Processing Society
|d 1992
|g 22(2013), 8 vom: 01. Aug., Seite 2970-82
|w (DE-627)NLM09821456X
|x 1941-0042
|7 nnns
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| 773 |
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|g volume:22
|g year:2013
|g number:8
|g day:01
|g month:08
|g pages:2970-82
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|u http://dx.doi.org/10.1109/TIP.2012.2230011
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