Automatic extraction of significant features from 3D point clouds by ellipsoidal skeleton. Applications in vision and geometrical characterization
We present a robust method for automatically constructing an ellipsoidal skeleton (e-skeleton) from a set of 3D points coming from segmented NMR or TDM images. To ensure steadiness and accuracy, all points of the objects are taken into account, including the inner ones. This skelelon will be essentially useful for object characterization, for comparisons between various measurements and as a basis for deformable models. It also provides good initial guess for surface reconstruction algorithms. On output of the entire process, we obtain an analytical description of the chosen entity, semantically zoomable (local features only or reconstructed surfaces), with any level of detail (LOD) by discretization step control in voxel or polygon format. This capability allows us to handle objects at interactive frame rates once the e-skeleton is computed. Each e-skeleton is stored as a multiscale CSG implicit tree. Applications cover a wide range in computer graphics, from CAD to medical imaging.
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Subjects: | U10 - Informatique, mathématiques et statistiques, imagerie, modèle mathématique, méthode statistique, os, sciences médicales, radiographie, http://aims.fao.org/aos/agrovoc/c_36760, http://aims.fao.org/aos/agrovoc/c_24199, http://aims.fao.org/aos/agrovoc/c_7377, http://aims.fao.org/aos/agrovoc/c_1001, http://aims.fao.org/aos/agrovoc/c_4695, http://aims.fao.org/aos/agrovoc/c_6428, |
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dig-cirad-fr-3919362024-01-27T23:53:30Z http://agritrop.cirad.fr/391936/ http://agritrop.cirad.fr/391936/ Automatic extraction of significant features from 3D point clouds by ellipsoidal skeleton. Applications in vision and geometrical characterization. Banegas Frédéric, Michelucci Dominique, Roelens Marc, Jaeger Marc. 1999. In : Proceedings of the international conference on visual computing (ICVC 99) = [Actes de la conférence internationale sur le calcul visuel]. Mudur S.P. (ed.), Shikhare D. (ed.), Encarnacao J.L. (ed.), Rossignac J. (ed.); IFIP. Suisse : IFIP, 58-67. International Conference on Visual Computing (ICVC 99), Goa, Inde, 23 Février 1999/26 Février 1999. Automatic extraction of significant features from 3D point clouds by ellipsoidal skeleton. Applications in vision and geometrical characterization Banegas, Frédéric Michelucci, Dominique Roelens, Marc Jaeger, Marc eng 1999 IFIP Proceedings of the international conference on visual computing (ICVC 99) = [Actes de la conférence internationale sur le calcul visuel] U10 - Informatique, mathématiques et statistiques imagerie modèle mathématique méthode statistique os sciences médicales radiographie http://aims.fao.org/aos/agrovoc/c_36760 http://aims.fao.org/aos/agrovoc/c_24199 http://aims.fao.org/aos/agrovoc/c_7377 http://aims.fao.org/aos/agrovoc/c_1001 http://aims.fao.org/aos/agrovoc/c_4695 http://aims.fao.org/aos/agrovoc/c_6428 We present a robust method for automatically constructing an ellipsoidal skeleton (e-skeleton) from a set of 3D points coming from segmented NMR or TDM images. To ensure steadiness and accuracy, all points of the objects are taken into account, including the inner ones. This skelelon will be essentially useful for object characterization, for comparisons between various measurements and as a basis for deformable models. It also provides good initial guess for surface reconstruction algorithms. On output of the entire process, we obtain an analytical description of the chosen entity, semantically zoomable (local features only or reconstructed surfaces), with any level of detail (LOD) by discretization step control in voxel or polygon format. This capability allows us to handle objects at interactive frame rates once the e-skeleton is computed. Each e-skeleton is stored as a multiscale CSG implicit tree. Applications cover a wide range in computer graphics, from CAD to medical imaging. conference_item info:eu-repo/semantics/conferenceObject Conference info:eu-repo/semantics/closedAccess http://catalogue-bibliotheques.cirad.fr/cgi-bin/koha/opac-detail.pl?biblionumber=91124 |
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U10 - Informatique, mathématiques et statistiques imagerie modèle mathématique méthode statistique os sciences médicales radiographie http://aims.fao.org/aos/agrovoc/c_36760 http://aims.fao.org/aos/agrovoc/c_24199 http://aims.fao.org/aos/agrovoc/c_7377 http://aims.fao.org/aos/agrovoc/c_1001 http://aims.fao.org/aos/agrovoc/c_4695 http://aims.fao.org/aos/agrovoc/c_6428 U10 - Informatique, mathématiques et statistiques imagerie modèle mathématique méthode statistique os sciences médicales radiographie http://aims.fao.org/aos/agrovoc/c_36760 http://aims.fao.org/aos/agrovoc/c_24199 http://aims.fao.org/aos/agrovoc/c_7377 http://aims.fao.org/aos/agrovoc/c_1001 http://aims.fao.org/aos/agrovoc/c_4695 http://aims.fao.org/aos/agrovoc/c_6428 |
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U10 - Informatique, mathématiques et statistiques imagerie modèle mathématique méthode statistique os sciences médicales radiographie http://aims.fao.org/aos/agrovoc/c_36760 http://aims.fao.org/aos/agrovoc/c_24199 http://aims.fao.org/aos/agrovoc/c_7377 http://aims.fao.org/aos/agrovoc/c_1001 http://aims.fao.org/aos/agrovoc/c_4695 http://aims.fao.org/aos/agrovoc/c_6428 U10 - Informatique, mathématiques et statistiques imagerie modèle mathématique méthode statistique os sciences médicales radiographie http://aims.fao.org/aos/agrovoc/c_36760 http://aims.fao.org/aos/agrovoc/c_24199 http://aims.fao.org/aos/agrovoc/c_7377 http://aims.fao.org/aos/agrovoc/c_1001 http://aims.fao.org/aos/agrovoc/c_4695 http://aims.fao.org/aos/agrovoc/c_6428 Banegas, Frédéric Michelucci, Dominique Roelens, Marc Jaeger, Marc Automatic extraction of significant features from 3D point clouds by ellipsoidal skeleton. Applications in vision and geometrical characterization |
description |
We present a robust method for automatically constructing an ellipsoidal skeleton (e-skeleton) from a set of 3D points coming from segmented NMR or TDM images. To ensure steadiness and accuracy, all points of the objects are taken into account, including the inner ones. This skelelon will be essentially useful for object characterization, for comparisons between various measurements and as a basis for deformable models. It also provides good initial guess for surface reconstruction algorithms. On output of the entire process, we obtain an analytical description of the chosen entity, semantically zoomable (local features only or reconstructed surfaces), with any level of detail (LOD) by discretization step control in voxel or polygon format. This capability allows us to handle objects at interactive frame rates once the e-skeleton is computed. Each e-skeleton is stored as a multiscale CSG implicit tree. Applications cover a wide range in computer graphics, from CAD to medical imaging. |
format |
conference_item |
topic_facet |
U10 - Informatique, mathématiques et statistiques imagerie modèle mathématique méthode statistique os sciences médicales radiographie http://aims.fao.org/aos/agrovoc/c_36760 http://aims.fao.org/aos/agrovoc/c_24199 http://aims.fao.org/aos/agrovoc/c_7377 http://aims.fao.org/aos/agrovoc/c_1001 http://aims.fao.org/aos/agrovoc/c_4695 http://aims.fao.org/aos/agrovoc/c_6428 |
author |
Banegas, Frédéric Michelucci, Dominique Roelens, Marc Jaeger, Marc |
author_facet |
Banegas, Frédéric Michelucci, Dominique Roelens, Marc Jaeger, Marc |
author_sort |
Banegas, Frédéric |
title |
Automatic extraction of significant features from 3D point clouds by ellipsoidal skeleton. Applications in vision and geometrical characterization |
title_short |
Automatic extraction of significant features from 3D point clouds by ellipsoidal skeleton. Applications in vision and geometrical characterization |
title_full |
Automatic extraction of significant features from 3D point clouds by ellipsoidal skeleton. Applications in vision and geometrical characterization |
title_fullStr |
Automatic extraction of significant features from 3D point clouds by ellipsoidal skeleton. Applications in vision and geometrical characterization |
title_full_unstemmed |
Automatic extraction of significant features from 3D point clouds by ellipsoidal skeleton. Applications in vision and geometrical characterization |
title_sort |
automatic extraction of significant features from 3d point clouds by ellipsoidal skeleton. applications in vision and geometrical characterization |
publisher |
IFIP |
url |
http://agritrop.cirad.fr/391936/ |
work_keys_str_mv |
AT banegasfrederic automaticextractionofsignificantfeaturesfrom3dpointcloudsbyellipsoidalskeletonapplicationsinvisionandgeometricalcharacterization AT micheluccidominique automaticextractionofsignificantfeaturesfrom3dpointcloudsbyellipsoidalskeletonapplicationsinvisionandgeometricalcharacterization AT roelensmarc automaticextractionofsignificantfeaturesfrom3dpointcloudsbyellipsoidalskeletonapplicationsinvisionandgeometricalcharacterization AT jaegermarc automaticextractionofsignificantfeaturesfrom3dpointcloudsbyellipsoidalskeletonapplicationsinvisionandgeometricalcharacterization |
_version_ |
1792491544242028544 |