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Contrast context histogram—An efficient discriminating local descriptor for object recognition and image matching

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Title: Contrast context histogram—An efficient discriminating local descriptor for object recognition and image matching
Authors: Huang, Chun-Rong1 nckuos@iis.sincia.edu.tw, Chen, Chu-Song1 song@iis.sincia.edu.tw, Chung, Pau-Choo2 pcchung@ee.ncku.edu.tw
Source: Pattern Recognition. Oct2008, Vol. 41 Issue 10, p3071-3077. 7p.
Subjects: Bulk solids handling, Compressibility, Compacting, Warehouses
Abstract: Abstract: In this paper, we propose a new invariant local descriptor, called the contrast context histogram (CCH), for image matching and object recognition. By representing the contrast distributions of a local region, it serves as a distinctive local descriptor of the region. Our experiments demonstrate that contrast-based local descriptors can represent local regions with more compact histogram bins. Because of its high matching accuracy and efficient computation, the CCH has the potential to be used in a number of real-time applications. [Copyright &y& Elsevier]
Copyright of Pattern Recognition is the property of Pergamon Press - An Imprint of Elsevier Science and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Database: Engineering Source
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  Availability: 0
Header DbId: egs
DbLabel: Engineering Source
An: 32909470
AccessLevel: 6
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
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  Data: Contrast context histogram—An efficient discriminating local descriptor for object recognition and image matching
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  Data: <searchLink fieldCode="AR" term="%22Huang%2C+Chun-Rong%22">Huang, Chun-Rong</searchLink><relatesTo>1</relatesTo><i> nckuos@iis.sincia.edu.tw</i><br /><searchLink fieldCode="AR" term="%22Chen%2C+Chu-Song%22">Chen, Chu-Song</searchLink><relatesTo>1</relatesTo><i> song@iis.sincia.edu.tw</i><br /><searchLink fieldCode="AR" term="%22Chung%2C+Pau-Choo%22">Chung, Pau-Choo</searchLink><relatesTo>2</relatesTo><i> pcchung@ee.ncku.edu.tw</i>
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  Data: <searchLink fieldCode="JN" term="%22Pattern+Recognition%22">Pattern Recognition</searchLink>. Oct2008, Vol. 41 Issue 10, p3071-3077. 7p.
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  Data: <searchLink fieldCode="DE" term="%22Bulk+solids+handling%22">Bulk solids handling</searchLink><br /><searchLink fieldCode="DE" term="%22Compressibility%22">Compressibility</searchLink><br /><searchLink fieldCode="DE" term="%22Compacting%22">Compacting</searchLink><br /><searchLink fieldCode="DE" term="%22Warehouses%22">Warehouses</searchLink>
– Name: Abstract
  Label: Abstract
  Group: Ab
  Data: Abstract: In this paper, we propose a new invariant local descriptor, called the contrast context histogram (CCH), for image matching and object recognition. By representing the contrast distributions of a local region, it serves as a distinctive local descriptor of the region. Our experiments demonstrate that contrast-based local descriptors can represent local regions with more compact histogram bins. Because of its high matching accuracy and efficient computation, the CCH has the potential to be used in a number of real-time applications. [Copyright &y& Elsevier]
– Name: AbstractSuppliedCopyright
  Label:
  Group: Ab
  Data: <i>Copyright of Pattern Recognition is the property of Pergamon Press - An Imprint of Elsevier Science and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=egs&AN=32909470
RecordInfo BibRecord:
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    Identifiers:
      – Type: doi
        Value: 10.1016/j.patcog.2008.03.013
    Languages:
      – Code: eng
        Text: English
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        PageCount: 7
        StartPage: 3071
    Subjects:
      – SubjectFull: Bulk solids handling
        Type: general
      – SubjectFull: Compressibility
        Type: general
      – SubjectFull: Compacting
        Type: general
      – SubjectFull: Warehouses
        Type: general
    Titles:
      – TitleFull: Contrast context histogram—An efficient discriminating local descriptor for object recognition and image matching
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            NameFull: Huang, Chun-Rong
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            NameFull: Chen, Chu-Song
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            NameFull: Chung, Pau-Choo
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            – D: 01
              M: 10
              Text: Oct2008
              Type: published
              Y: 2008
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              Value: 41
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              Value: 10
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            – TitleFull: Pattern Recognition
              Type: main
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