Boundary Shape Recognition Using Accumulated Length and Angle Information
Identifieur interne : 004C97 ( Main/Exploration ); précédent : 004C96; suivant : 004C98Boundary Shape Recognition Using Accumulated Length and Angle Information
Auteurs : Marçal Rusi Ol [Espagne] ; Philippe Dosch [France] ; Josep Llad S [Espagne]Source :
- Lecture Notes in Computer Science [ 0302-9743 ]
English descriptors
Abstract
Abstract: In this paper we present a method to recognize shapes by analyzing a polygonal approximation of their boundaries. The method is independent of the used approximation method since its recognition strategy does not rely on the number of segments composing the shape. Length and turning angle information are extracted from the chain of segments. The comparison method is invariant to scale, translation and some occlusions of the extracted contour. A simple pre-processing method, also based on arc-length features, is presented to be used as a coarse fitting method to determine angle rotation and as a first filter to eliminate non pertinent candidates.
Url:
DOI: 10.1007/978-3-540-72849-8_27
Affiliations:
- Espagne, France
- Catalogne, Grand Est, Lorraine (région)
- Barcelone, Villers-lès-Nancy
- Université autonome de Barcelone
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Le document en format XML
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Ciències de la Computació, Edifici O, Universitat Autònoma de Barcelona, 08193 Bellaterra (Barcelona)</wicri:regionArea><placeName><region nuts="2" type="communauté">Catalogne</region><settlement type="city">Barcelone</settlement></placeName><orgName type="university">Université autonome de Barcelone</orgName></affiliation></author></analytic><monogr></monogr><series><title level="s" type="main" xml:lang="en">Lecture Notes in Computer Science</title><title level="s" type="abbrev">LNCS</title><idno type="ISSN">0302-9743</idno><idno type="eISSN">1611-3349</idno><idno type="ISSN">0302-9743</idno></series></biblStruct></sourceDesc><seriesStmt><idno type="ISSN">0302-9743</idno></seriesStmt></fileDesc><profileDesc><textClass><keywords scheme="mix" xml:lang="en"><term>boundary shape</term><term>shape matching</term><term>symbol recognition</term></keywords></textClass></profileDesc></teiHeader><front><div type="abstract" xml:lang="en">Abstract: In this paper we present a method to recognize shapes by analyzing a polygonal approximation of their boundaries. The method is independent of the used approximation method since its recognition strategy does not rely on the number of segments composing the shape. Length and turning angle information are extracted from the chain of segments. The comparison method is invariant to scale, translation and some occlusions of the extracted contour. A simple pre-processing method, also based on arc-length features, is presented to be used as a coarse fitting method to determine angle rotation and as a first filter to eliminate non pertinent candidates.</div></front></TEI><affiliations><list><country><li>Espagne</li><li>France</li></country><region><li>Catalogne</li><li>Grand Est</li><li>Lorraine (région)</li></region><settlement><li>Barcelone</li><li>Villers-lès-Nancy</li></settlement><orgName><li>Université autonome de Barcelone</li></orgName></list><tree><country name="Espagne"><region name="Catalogne"><name sortKey="Rusi Ol, Marcal" sort="Rusi Ol, Marcal" uniqKey="Rusi Ol M" first="Marçal" last="Rusi Ol">Marçal Rusi Ol</name></region><name sortKey="Llad S, Josep" sort="Llad S, Josep" uniqKey="Llad S J" first="Josep" last="Llad S">Josep Llad S</name></country><country name="France"><region name="Grand Est"><name sortKey="Dosch, Philippe" sort="Dosch, Philippe" uniqKey="Dosch P" first="Philippe" last="Dosch">Philippe Dosch</name></region></country></tree></affiliations></record>Pour manipuler ce document sous Unix (Dilib)
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