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Article: Corner detector based on global and local curvature properties
Title | Corner detector based on global and local curvature properties |
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Authors | |
Keywords | adaptive threshold contour corner detection curvature obtuse corner region of support round corner |
Issue Date | 2008 |
Publisher | SPIE - 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, 057008:1-057008:12 How to Cite? |
Abstract | This 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 Identifier | http://hdl.handle.net/10722/57246 |
ISSN | 2023 Impact Factor: 1.1 2023 SCImago Journal Rankings: 0.331 |
ISI Accession Number ID | |
References |
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Chen He, X | en_HK |
dc.contributor.author | Yung, NHC | en_HK |
dc.date.accessioned | 2010-04-12T01:30:45Z | - |
dc.date.available | 2010-04-12T01:30:45Z | - |
dc.date.issued | 2008 | en_HK |
dc.identifier.citation | Optical Engineering, 2008, v. 47 n. 5, 057008:1-057008:12 | en_HK |
dc.identifier.issn | 0091-3286 | en_HK |
dc.identifier.uri | http://hdl.handle.net/10722/57246 | - |
dc.description.abstract | This 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.language | eng | en_HK |
dc.publisher | SPIE - International Society for Optical Engineering. The Journal's web site is located at http://www.spie.org/oe | en_HK |
dc.relation.ispartof | Optical Engineering | en_HK |
dc.rights | Copyright 2008 Society of Photo‑Optical Instrumentation Engineers (SPIE). One print or electronic copy may be made for personal use only. Systematic reproduction and distribution, duplication of any material in this publication for a fee or for commercial purposes, and modification of the contents of the publication are prohibited. This article is available online at https://doi.org/10.1117/1.2931681 | - |
dc.subject | adaptive threshold | en_HK |
dc.subject | contour | en_HK |
dc.subject | corner detection | en_HK |
dc.subject | curvature | en_HK |
dc.subject | obtuse corner | en_HK |
dc.subject | region of support | en_HK |
dc.subject | round corner | en_HK |
dc.title | Corner detector based on global and local curvature properties | en_HK |
dc.type | Article | en_HK |
dc.identifier.openurl | http://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+properties | en_HK |
dc.identifier.email | Yung, NHC:nyung@eee.hku.hk | en_HK |
dc.identifier.authority | Yung, NHC=rp00226 | en_HK |
dc.description.nature | published_or_final_version | en_HK |
dc.identifier.doi | 10.1117/1.2931681 | en_HK |
dc.identifier.scopus | eid_2-s2.0-79960107155 | en_HK |
dc.identifier.hkuros | 143212 | - |
dc.relation.references | http://www.scopus.com/mlt/select.url?eid=2-s2.0-79960107155&selection=ref&src=s&origin=recordpage | en_HK |
dc.identifier.volume | 47 | en_HK |
dc.identifier.issue | 5 | en_HK |
dc.identifier.spage | 057008:1 | - |
dc.identifier.epage | 057008:12 | - |
dc.identifier.isi | WOS:000257227100034 | - |
dc.publisher.place | United States | en_HK |
dc.identifier.scopusauthorid | Chen He, X=54384837600 | en_HK |
dc.identifier.scopusauthorid | Yung, NHC=7003473369 | en_HK |
dc.identifier.citeulike | 7225410 | - |
dc.identifier.issnl | 0091-3286 | - |