Snapshots: a novel local surface descriptor and matching algorithm for robust 3D surface alignment.
Identifieur interne : 000431 ( PubMed/Curation ); précédent : 000430; suivant : 000432Snapshots: a novel local surface descriptor and matching algorithm for robust 3D surface alignment.
Auteurs : Sotiris Malassiotis [Grèce] ; Michael G. StrintzisSource :
- IEEE transactions on pattern analysis and machine intelligence [ 0162-8828 ] ; 2007.
Descripteurs français
- KwdFr :
- Algorithmes, Amélioration d'image (), Biométrie (), Face (anatomie et histologie), Humains, Imagerie tridimensionnelle (), Intelligence artificielle, Interprétation d'image assistée par ordinateur (), Reconnaissance automatique des formes (), Reproductibilité des résultats, Sensibilité et spécificité, Technique de soustraction.
- MESH :
- anatomie et histologie : Face.
- Algorithmes, Amélioration d'image, Biométrie, Humains, Imagerie tridimensionnelle, Intelligence artificielle, Interprétation d'image assistée par ordinateur, Reconnaissance automatique des formes, Reproductibilité des résultats, Sensibilité et spécificité, Technique de soustraction.
English descriptors
- KwdEn :
- Algorithms, Artificial Intelligence, Biometry (methods), Face (anatomy & histology), Humans, Image Enhancement (methods), Image Interpretation, Computer-Assisted (methods), Imaging, Three-Dimensional (methods), Pattern Recognition, Automated (methods), Reproducibility of Results, Sensitivity and Specificity, Subtraction Technique.
- MESH :
Abstract
In this paper, a novel local surface descriptor is proposed and applied to the problem of aligning partial views of a 3D object. The descriptor is based on taking "snapshots" of the surface over each point using a virtual camera oriented perpendicularly to the surface. This representation has the advantage of imposing minimal loss of information be robust to self-occlusions and also be very efficient to compute. Then, we describe an efficient search technique to deal with the rotation ambiguity of our representation and experimentally demonstrate the benefits of our approaches which are pronounced especially when we align views with small overlap.
DOI: 10.1109/TPAMI.2007.1060
PubMed: 17496386
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Strintzis</name></author></titleStmt><publicationStmt><idno type="wicri:source">PubMed</idno><date when="2007">2007</date><idno type="doi">10.1109/TPAMI.2007.1060</idno><idno type="RBID">pubmed:17496386</idno><idno type="pmid">17496386</idno><idno type="wicri:Area/PubMed/Corpus">000431</idno><idno type="wicri:explorRef" wicri:stream="PubMed" wicri:step="Corpus" wicri:corpus="PubMed">000431</idno><idno type="wicri:Area/PubMed/Curation">000431</idno><idno type="wicri:explorRef" wicri:stream="PubMed" wicri:step="Curation">000431</idno></publicationStmt><sourceDesc><biblStruct><analytic><title xml:lang="en">Snapshots: a novel local surface descriptor and matching algorithm for robust 3D surface alignment.</title><author><name sortKey="Malassiotis, Sotiris" sort="Malassiotis, Sotiris" uniqKey="Malassiotis S" first="Sotiris" last="Malassiotis">Sotiris Malassiotis</name><affiliation wicri:level="1"><nlm:affiliation>Centre for Research and Technology Hellas, Informatics and Telematics Institute, Thermi-Thessaloniki, Greece. malasiot@iti.gr</nlm:affiliation><country xml:lang="fr">Grèce</country><wicri:regionArea>Centre for Research and Technology Hellas, Informatics and Telematics Institute, Thermi-Thessaloniki</wicri:regionArea></affiliation></author><author><name sortKey="Strintzis, Michael G" sort="Strintzis, Michael G" uniqKey="Strintzis M" first="Michael G" last="Strintzis">Michael G. Strintzis</name></author></analytic><series><title level="j">IEEE transactions on pattern analysis and machine intelligence</title><idno type="ISSN">0162-8828</idno><imprint><date when="2007" type="published">2007</date></imprint></series></biblStruct></sourceDesc></fileDesc><profileDesc><textClass><keywords scheme="KwdEn" xml:lang="en"><term>Algorithms</term><term>Artificial Intelligence</term><term>Biometry (methods)</term><term>Face (anatomy & histology)</term><term>Humans</term><term>Image Enhancement (methods)</term><term>Image Interpretation, Computer-Assisted (methods)</term><term>Imaging, Three-Dimensional (methods)</term><term>Pattern Recognition, Automated (methods)</term><term>Reproducibility of Results</term><term>Sensitivity and Specificity</term><term>Subtraction Technique</term></keywords><keywords scheme="KwdFr" xml:lang="fr"><term>Algorithmes</term><term>Amélioration d'image ()</term><term>Biométrie ()</term><term>Face (anatomie et histologie)</term><term>Humains</term><term>Imagerie tridimensionnelle ()</term><term>Intelligence artificielle</term><term>Interprétation d'image assistée par ordinateur ()</term><term>Reconnaissance automatique des formes ()</term><term>Reproductibilité des résultats</term><term>Sensibilité et spécificité</term><term>Technique de soustraction</term></keywords><keywords scheme="MESH" qualifier="anatomie et histologie" xml:lang="fr"><term>Face</term></keywords><keywords scheme="MESH" qualifier="anatomy & histology" xml:lang="en"><term>Face</term></keywords><keywords scheme="MESH" qualifier="methods" xml:lang="en"><term>Biometry</term><term>Image Enhancement</term><term>Image Interpretation, Computer-Assisted</term><term>Imaging, Three-Dimensional</term><term>Pattern Recognition, Automated</term></keywords><keywords scheme="MESH" xml:lang="en"><term>Algorithms</term><term>Artificial Intelligence</term><term>Humans</term><term>Reproducibility of Results</term><term>Sensitivity and Specificity</term><term>Subtraction Technique</term></keywords><keywords scheme="MESH" xml:lang="fr"><term>Algorithmes</term><term>Amélioration d'image</term><term>Biométrie</term><term>Humains</term><term>Imagerie tridimensionnelle</term><term>Intelligence artificielle</term><term>Interprétation d'image assistée par ordinateur</term><term>Reconnaissance automatique des formes</term><term>Reproductibilité des résultats</term><term>Sensibilité et spécificité</term><term>Technique de soustraction</term></keywords></textClass></profileDesc></teiHeader><front><div type="abstract" xml:lang="en">In this paper, a novel local surface descriptor is proposed and applied to the problem of aligning partial views of a 3D object. The descriptor is based on taking "snapshots" of the surface over each point using a virtual camera oriented perpendicularly to the surface. This representation has the advantage of imposing minimal loss of information be robust to self-occlusions and also be very efficient to compute. Then, we describe an efficient search technique to deal with the rotation ambiguity of our representation and experimentally demonstrate the benefits of our approaches which are pronounced especially when we align views with small overlap.</div></front></TEI><pubmed><MedlineCitation Owner="NLM" Status="MEDLINE"><PMID Version="1">17496386</PMID><DateCreated><Year>2007</Year><Month>05</Month><Day>14</Day></DateCreated><DateCompleted><Year>2007</Year><Month>07</Month><Day>18</Day></DateCompleted><Article PubModel="Print"><Journal><ISSN IssnType="Print">0162-8828</ISSN><JournalIssue CitedMedium="Print"><Volume>29</Volume><Issue>7</Issue><PubDate><Year>2007</Year><Month>Jul</Month></PubDate></JournalIssue><Title>IEEE transactions on pattern analysis and machine intelligence</Title><ISOAbbreviation>IEEE Trans Pattern Anal Mach Intell</ISOAbbreviation></Journal><ArticleTitle>Snapshots: a novel local surface descriptor and matching algorithm for robust 3D surface alignment.</ArticleTitle><Pagination><MedlinePgn>1285-90</MedlinePgn></Pagination><Abstract><AbstractText>In this paper, a novel local surface descriptor is proposed and applied to the problem of aligning partial views of a 3D object. The descriptor is based on taking "snapshots" of the surface over each point using a virtual camera oriented perpendicularly to the surface. This representation has the advantage of imposing minimal loss of information be robust to self-occlusions and also be very efficient to compute. Then, we describe an efficient search technique to deal with the rotation ambiguity of our representation and experimentally demonstrate the benefits of our approaches which are pronounced especially when we align views with small overlap.</AbstractText></Abstract><AuthorList CompleteYN="Y"><Author ValidYN="Y"><LastName>Malassiotis</LastName><ForeName>Sotiris</ForeName><Initials>S</Initials><AffiliationInfo><Affiliation>Centre for Research and Technology Hellas, Informatics and Telematics Institute, Thermi-Thessaloniki, Greece. malasiot@iti.gr</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Strintzis</LastName><ForeName>Michael G</ForeName><Initials>MG</Initials></Author></AuthorList><Language>eng</Language><PublicationTypeList><PublicationType UI="D016428">Journal Article</PublicationType><PublicationType UI="D013485">Research Support, Non-U.S. Gov't</PublicationType></PublicationTypeList></Article><MedlineJournalInfo><Country>United States</Country><MedlineTA>IEEE Trans Pattern Anal Mach Intell</MedlineTA><NlmUniqueID>9885960</NlmUniqueID><ISSNLinking>0098-5589</ISSNLinking></MedlineJournalInfo><CitationSubset>IM</CitationSubset><MeshHeadingList><MeshHeading><DescriptorName MajorTopicYN="Y" UI="D000465">Algorithms</DescriptorName></MeshHeading><MeshHeading><DescriptorName MajorTopicYN="N" UI="D001185">Artificial Intelligence</DescriptorName></MeshHeading><MeshHeading><DescriptorName MajorTopicYN="N" UI="D001699">Biometry</DescriptorName><QualifierName MajorTopicYN="N" UI="Q000379">methods</QualifierName></MeshHeading><MeshHeading><DescriptorName MajorTopicYN="N" UI="D005145">Face</DescriptorName><QualifierName MajorTopicYN="Y" UI="Q000033">anatomy & histology</QualifierName></MeshHeading><MeshHeading><DescriptorName MajorTopicYN="N" UI="D006801">Humans</DescriptorName></MeshHeading><MeshHeading><DescriptorName MajorTopicYN="N" UI="D007089">Image Enhancement</DescriptorName><QualifierName MajorTopicYN="Y" UI="Q000379">methods</QualifierName></MeshHeading><MeshHeading><DescriptorName MajorTopicYN="N" UI="D007090">Image Interpretation, Computer-Assisted</DescriptorName><QualifierName MajorTopicYN="Y" UI="Q000379">methods</QualifierName></MeshHeading><MeshHeading><DescriptorName MajorTopicYN="N" UI="D021621">Imaging, Three-Dimensional</DescriptorName><QualifierName MajorTopicYN="Y" UI="Q000379">methods</QualifierName></MeshHeading><MeshHeading><DescriptorName MajorTopicYN="N" UI="D010363">Pattern Recognition, Automated</DescriptorName><QualifierName MajorTopicYN="Y" UI="Q000379">methods</QualifierName></MeshHeading><MeshHeading><DescriptorName MajorTopicYN="N" UI="D015203">Reproducibility of Results</DescriptorName></MeshHeading><MeshHeading><DescriptorName MajorTopicYN="N" UI="D012680">Sensitivity and Specificity</DescriptorName></MeshHeading><MeshHeading><DescriptorName MajorTopicYN="Y" UI="D013382">Subtraction Technique</DescriptorName></MeshHeading></MeshHeadingList></MedlineCitation><PubmedData><History><PubMedPubDate PubStatus="pubmed"><Year>2007</Year><Month>5</Month><Day>15</Day><Hour>9</Hour><Minute>0</Minute></PubMedPubDate><PubMedPubDate PubStatus="medline"><Year>2007</Year><Month>7</Month><Day>19</Day><Hour>9</Hour><Minute>0</Minute></PubMedPubDate><PubMedPubDate PubStatus="entrez"><Year>2007</Year><Month>5</Month><Day>15</Day><Hour>9</Hour><Minute>0</Minute></PubMedPubDate></History><PublicationStatus>ppublish</PublicationStatus><ArticleIdList><ArticleId IdType="doi">10.1109/TPAMI.2007.1060</ArticleId><ArticleId IdType="pubmed">17496386</ArticleId></ArticleIdList></PubmedData></pubmed></record>Pour manipuler ce document sous Unix (Dilib)
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