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Article: Corner detector based on global and local curvature properties

TitleCorner detector based on global and local curvature properties
Authors
Keywordsadaptive threshold
contour
corner detection
curvature
obtuse corner
region of support
round corner
Issue Date2008
PublisherS P I E - International Society for Optical Engineering. The Journal's web site is located at http://www.spie.org/oe
Citation
Optical Engineering, 2008, v. 47 n. 5 How to Cite?
AbstractThis paper proposes a curvature-based corner detector that detects both fine and coarse features accurately at low computational cost. First, it extracts contours from a Canny edge map. Second, it computes the absolute value of curvature of each point on a contour at a low scale and regards local maxima of absolute curvature as initial corner candidates. Third, it uses an adaptive curvature threshold to remove round corners from the initial list. Finally, false corners due to quantization noise and trivial details are eliminated by evaluating the angles of corner candidates in a dynamic region of support. The proposed detector was compared with popular corner detectors on planar curves and gray-level images, respectively, in a subjective manner as well as with a feature correspondence test. Results reveal that the proposed detector performs extremely well in both fields. © 2008 Society of Photo-Optical Instrumentation Engineers.
Persistent Identifierhttp://hdl.handle.net/10722/57246
ISSN
2015 Impact Factor: 0.984
2015 SCImago Journal Rankings: 0.485
ISI Accession Number ID
References

 

DC FieldValueLanguage
dc.contributor.authorChen He, Xen_HK
dc.contributor.authorYung, NHCen_HK
dc.date.accessioned2010-04-12T01:30:45Z-
dc.date.available2010-04-12T01:30:45Z-
dc.date.issued2008en_HK
dc.identifier.citationOptical Engineering, 2008, v. 47 n. 5en_HK
dc.identifier.issn0091-3286en_HK
dc.identifier.urihttp://hdl.handle.net/10722/57246-
dc.description.abstractThis paper proposes a curvature-based corner detector that detects both fine and coarse features accurately at low computational cost. First, it extracts contours from a Canny edge map. Second, it computes the absolute value of curvature of each point on a contour at a low scale and regards local maxima of absolute curvature as initial corner candidates. Third, it uses an adaptive curvature threshold to remove round corners from the initial list. Finally, false corners due to quantization noise and trivial details are eliminated by evaluating the angles of corner candidates in a dynamic region of support. The proposed detector was compared with popular corner detectors on planar curves and gray-level images, respectively, in a subjective manner as well as with a feature correspondence test. Results reveal that the proposed detector performs extremely well in both fields. © 2008 Society of Photo-Optical Instrumentation Engineers.en_HK
dc.languageengen_HK
dc.publisherS P I E - International Society for Optical Engineering. The Journal's web site is located at http://www.spie.org/oeen_HK
dc.relation.ispartofOptical Engineeringen_HK
dc.rightsCreative Commons: Attribution 3.0 Hong Kong License-
dc.rightsOptical Engineering. Copyright © S P I E - International Society for Optical Engineering.en_HK
dc.rightsCopyright 2008 Society of Photo-Optical Instrumentation Engineers.This paper was published in Optical Engineering and is made available as an electronic reprint with permission of SPIE. One print or electronic copy may be made for personal use only. Systematic or multiple reproduction, distribution to multiple locations via electronic or other means, duplication of any material in this paper for a fee or for commercial purposes, or modification of the content of the paper are prohibited.en_HK
dc.subjectadaptive thresholden_HK
dc.subjectcontouren_HK
dc.subjectcorner detectionen_HK
dc.subjectcurvatureen_HK
dc.subjectobtuse corneren_HK
dc.subjectregion of supporten_HK
dc.subjectround corneren_HK
dc.titleCorner detector based on global and local curvature propertiesen_HK
dc.typeArticleen_HK
dc.identifier.openurlhttp://library.hku.hk:4550/resserv?sid=HKU:IR&issn=0091-3286&volume=47&issue=5&spage=057008&epage=1 &date=2008&atitle=Corner+detector+based+on+global+and+local+curvature+propertiesen_HK
dc.identifier.emailYung, NHC:nyung@eee.hku.hken_HK
dc.identifier.authorityYung, NHC=rp00226en_HK
dc.description.naturepublished_or_final_versionen_HK
dc.identifier.doi10.1117/1.2931681en_HK
dc.identifier.scopuseid_2-s2.0-79960107155en_HK
dc.identifier.hkuros143212-
dc.relation.referenceshttp://www.scopus.com/mlt/select.url?eid=2-s2.0-79960107155&selection=ref&src=s&origin=recordpageen_HK
dc.identifier.volume47en_HK
dc.identifier.issue5en_HK
dc.identifier.isiWOS:000257227100034-
dc.publisher.placeUnited Statesen_HK
dc.identifier.scopusauthoridChen He, X=54384837600en_HK
dc.identifier.scopusauthoridYung, NHC=7003473369en_HK
dc.identifier.citeulike7225410-

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