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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pubmed:17496386Le document en format XML
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<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>
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<keywords scheme="KwdFr" xml:lang="fr"><term>Algorithmes</term>
<term>Amélioration d'image ()</term>
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<term>Face (anatomie et histologie)</term>
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<term>Imagerie tridimensionnelle ()</term>
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<term>Imaging, Three-Dimensional</term>
<term>Pattern Recognition, Automated</term>
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<term>Artificial Intelligence</term>
<term>Humans</term>
<term>Reproducibility of Results</term>
<term>Sensitivity and Specificity</term>
<term>Subtraction Technique</term>
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<keywords scheme="MESH" xml:lang="fr"><term>Algorithmes</term>
<term>Amélioration d'image</term>
<term>Biométrie</term>
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<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>
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<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>
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<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>
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