Comparison of Visual Registration Approaches of 3D Models for Orthodontics
| Autor: | Benjamin Albouy-Kissi, Yves Lucas, Arnaud Marchadier, Raphaël Destrez, Sylvie Treuillet |
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| Přispěvatelé: | Département Images, Robotique, Automatique et Signal [Orléans] (IRAUS), Laboratoire pluridisciplinaire de recherche en ingénierie des systèmes, mécanique et énergétique (PRISME), Université d'Orléans (UO)-Institut National des Sciences Appliquées - Centre Val de Loire (INSA CVL), Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-Université d'Orléans (UO)-Institut National des Sciences Appliquées - Centre Val de Loire (INSA CVL), Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA), Image Science for Interventional Techniques (ISIT), Université d'Auvergne - Clermont-Ferrand I (UdA)-Clermont Université-Centre National de la Recherche Scientifique (CNRS), Useful Progress, Université d'Auvergne - Clermont-Ferrand I (UdA)-Centre National de la Recherche Scientifique (CNRS)-Clermont Université |
| Jazyk: | angličtina |
| Rok vydání: | 2011 |
| Předmět: |
Orthodontics
business.industry Computer science Computation Reprojection error [INFO.INFO-CV]Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV] 030206 dentistry Real image Projection (linear algebra) 030218 nuclear medicine & medical imaging 03 medical and health sciences 0302 clinical medicine Robustness (computer science) Occlusion Six degrees of freedom Computer vision Artificial intelligence business Rigid transformation |
| Zdroj: | Lecture Notes in Computer Science, 2011 Advances Concepts for Intelligent Vision Systems Advances Concepts for Intelligent Vision Systems, Aug 2011, Belgium. pp.647-657, ⟨10.1007/978-3-642-23687-7_58⟩ Advanced Concepts for Intelligent Vision Systems ISBN: 9783642236860 ACIVS |
| DOI: | 10.1007/978-3-642-23687-7_58⟩ |
| Popis: | International audience; We propose to apply vision techniques to develop a main tool for orthodontics: the virtual occlusion of two dental casts. For that purpose, we process photos of the patient mouth and match points between these photos and the dental 3D models. From a set of 2D/3D matches of the two arcades, we calculate the projection matrix, before the mandible registration under the maxillary through a rigid transformation. We perform the mandible registration minimizing the reprojection errors. Two computation methods, depending on the knowledge of camera intrinsic parameters, are compared. Tests are carried out both on virtual and real images. In the virtual case, assumed as perfect, we evaluate the robustness against noise and the increase of performance using several views. Projection matrices and registration efficiency are evaluated respectively by reprojection errors and the differences between the rigid transformation and the reference pose, recorded on the six degrees of freedom. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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