A novel rank order LoG filter for interest point detection

This paper proposes a novel non-linear filter, named rank order LoG (ROLG) filter, and a new interest point detector, named ROLG detector. The ROLG filter is a weighted rank order filter. It is used to detect image structures whose significant majority of pixels are brighter (or darker) than the sig...

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Main Authors: Miao, Zhenwei, Jiang, Xudong
Other Authors: School of Electrical and Electronic Engineering
Format: Conference or Workshop Item
Language:English
Published: 2013
Subjects:
Online Access:https://hdl.handle.net/10356/98558
http://hdl.handle.net/10220/13400
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Institution: Nanyang Technological University
Language: English
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spelling sg-ntu-dr.10356-985582020-03-07T13:24:48Z A novel rank order LoG filter for interest point detection Miao, Zhenwei Jiang, Xudong School of Electrical and Electronic Engineering IEEE International Conference on Acoustics, Speech and Signal Processing (2012 : Kyoto, Japan) DRNTU::Engineering::Electrical and electronic engineering This paper proposes a novel non-linear filter, named rank order LoG (ROLG) filter, and a new interest point detector, named ROLG detector. The ROLG filter is a weighted rank order filter. It is used to detect image structures whose significant majority of pixels are brighter (or darker) than the significant majority of pixels in their corresponding surroundings. The ROLG detector is built on this filter. Compared to linear filter based detectors, the proposed rank order filter based detector is more robust to abrupt variations of images. Experiments on the benchmark databases demonstrate that the ROLG detector achieves superior performance compared to four state-of-the-art detectors. Evaluation experiments are also conducted on face recognition. The results further demonstrate that the ROLG detector has better performance compared to other detectors. 2013-09-09T07:02:27Z 2019-12-06T19:56:51Z 2013-09-09T07:02:27Z 2019-12-06T19:56:51Z 2012 2012 Conference Paper Miao, Z., & Jiang, X. (2012). A novel rank order LoG filter for interest point detection. 2012 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 937-940. https://hdl.handle.net/10356/98558 http://hdl.handle.net/10220/13400 10.1109/ICASSP.2012.6288039 en © 2012 IEEE
institution Nanyang Technological University
building NTU Library
country Singapore
collection DR-NTU
language English
topic DRNTU::Engineering::Electrical and electronic engineering
spellingShingle DRNTU::Engineering::Electrical and electronic engineering
Miao, Zhenwei
Jiang, Xudong
A novel rank order LoG filter for interest point detection
description This paper proposes a novel non-linear filter, named rank order LoG (ROLG) filter, and a new interest point detector, named ROLG detector. The ROLG filter is a weighted rank order filter. It is used to detect image structures whose significant majority of pixels are brighter (or darker) than the significant majority of pixels in their corresponding surroundings. The ROLG detector is built on this filter. Compared to linear filter based detectors, the proposed rank order filter based detector is more robust to abrupt variations of images. Experiments on the benchmark databases demonstrate that the ROLG detector achieves superior performance compared to four state-of-the-art detectors. Evaluation experiments are also conducted on face recognition. The results further demonstrate that the ROLG detector has better performance compared to other detectors.
author2 School of Electrical and Electronic Engineering
author_facet School of Electrical and Electronic Engineering
Miao, Zhenwei
Jiang, Xudong
format Conference or Workshop Item
author Miao, Zhenwei
Jiang, Xudong
author_sort Miao, Zhenwei
title A novel rank order LoG filter for interest point detection
title_short A novel rank order LoG filter for interest point detection
title_full A novel rank order LoG filter for interest point detection
title_fullStr A novel rank order LoG filter for interest point detection
title_full_unstemmed A novel rank order LoG filter for interest point detection
title_sort novel rank order log filter for interest point detection
publishDate 2013
url https://hdl.handle.net/10356/98558
http://hdl.handle.net/10220/13400
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