[{"command":"insert","method":null,"selector":".course-modal-ajax-placeholder-967898","data":"\u003Cdiv class=\u0022container content-rte\u0022\u003E\n \u003Cdiv class=\u0022row\u0022\u003E\n \u003Cdiv class=\u0022box col-md-6 bg-primary text-white\u0022\u003E\n \u003Ch2 class=\u0022h1 text-left\u0022\u003E Mesure et traitement de nuage de points\n\u003C\/h2\u003E\n \u003Cdiv class=\u0022field-spacing\u0022\u003E\n \u003Cdiv class=\u0022field__label h3 dash\u0022\u003EECTS :\n 3\n \u003C\/div\u003E\n \u003C\/div\u003E\n \u003Cdiv class=\u0022field-spacing\u0022\u003E\n \u003Cdiv class=\u0022field__label h3 dash\u0022\u003ESemester:\n Semestre 2\n \u003C\/div\u003E\n \u003C\/div\u003E\n \u003Cdiv class=\u0022field-spacing\u0022\u003E\n \u003Cdiv class=\u0022field__label h3 dash\u0022\u003ED\u00e9tail du volume horaire\u003C\/div\u003E\n \u003Cdiv class=\u0022mt-5 text-justify\u0022\u003E\n \u003Cspan class=\u0022field__label h4 mt-5 \u0022\u003ELecture:\u003C\/span\u003E\n \u003Cspan\u003E8\u003C\/span\u003E\n \u003C\/div\u003E\n \u003Cdiv class=\u0022mt-5 text-justify\u0022\u003E\n \u003Cspan class=\u0022field__label h4 mt-5 \u0022\u003EPractical study :\u003C\/span\u003E\n \u003Cspan\u003E16\u003C\/span\u003E\n \u003C\/div\u003E\n \u003Cdiv class=\u0022mt-5 text-justify\u0022\u003E\n \u003Cspan class=\u0022field__label h4 mt-5 \u0022\u003EDirected study:\u003C\/span\u003E\n \u003Cspan\u003E6\u003C\/span\u003E\n \u003C\/div\u003E\n \u003C\/div\u003E\n \u003Cdiv class=\u0022field-spacing\u0022\u003E\n \u003Cdiv class=\u0022field__label h3 dash\u0022\u003ELangue d\u0026#039;enseignement\u003C\/div\u003E\n \u003Cdiv class=\u0022mt-5 text-justify\u0022\u003E\n \u003Cspan\u003EFran\u00e7ais\u003C\/span\u003E\n \u003C\/div\u003E\n \u003C\/div\u003E\n \u003Cdiv class=\u0022field-spacing\u0022\u003E\n \u003Cdiv class=\u0022field__label h3 dash\u0022\u003EEnseignement \u00e0 distance\u003C\/div\u003E\n \u003Cdiv class=\u0022mt-5 text-justify\u0022\u003E\n \u003Cspan\u003Enon\u003C\/span\u003E\n \u003C\/div\u003E\n \u003C\/div\u003E\n \u003C\/div\u003E\n \u003Cdiv class=\u0022box col-md-6\u0022\u003E\n \u003Cdiv class=\u0022field-spacing\u0022\u003E\n \u003Cdiv class=\u0022field__label h3 dash\u0022\u003EPr\u00e9requis\u003C\/div\u003E\n \u003Cdiv class=\u0022mt-5 text-justify\u0022\u003E\n \u003Cspan\u003E\u003Cp\u003ETransformation rigide et mod\u00e9lisation par matrice homog\u00e8ne\u003C\/p\u003E\u003C\/span\u003E\n \u003C\/div\u003E\n \u003C\/div\u003E\n \u003Cdiv class=\u0022field-spacing\u0022\u003E\n \u003Cdiv class=\u0022field__label h3 dash\u0022\u003EProgramme \/ plan \/ contenus\u003C\/div\u003E\n \u003Cdiv class=\u0022mt-5 text-justify\u0022\u003E\n \u003Cspan\u003E\u003Cp\u003E\u003Cstrong\u003ECM 8h\u003C\/strong\u003E :\u003Cbr\u003E\n1.\u0026nbsp;Photogramm\u00e9trie \u0026nbsp;5h\u003Cbr\u003E\na.\u0026nbsp;g\u00e9om\u00e9trie projective, mod\u00e8le de st\u00e9nop\u00e9\u003Cbr\u003E\nb.\u0026nbsp;Principe de calibration\u003Cbr\u003E\nc.\u0026nbsp;Principales m\u00e9thodes de traitement d\u2019image (Filtrage canny, Hough, \u2026)\u003Cbr\u003E\nd.\u0026nbsp;G\u00e9om\u00e9trie \u00e9pipolaire, matrice fondamentale, algo calibration\u003Cbr\u003E\n2. M\u00e9thode par triangulation 3h\u003Cbr\u003E\na.\u0026nbsp;Principe triangulation\u003Cbr\u003E\nb. Capteur laser plan\u003Cbr\u003E\nc.\u0026nbsp;Projection de frange\u003Cbr\u003E\n\u003Cstrong\u003ETD 6h :\u003C\/strong\u003E\u003Cbr\u003E\n1-TD Application calibration d\u2019une cam\u00e9ra 2h\u003Cbr\u003E\n2-TD Triangulation 2h\u003Cbr\u003E\n3-TD Calibration d\u2019un capteur laser plan 2h\u003C\/p\u003E\n\u003Cp\u003E**BE 4h\u0026nbsp;** : Algo ICP recalage\u003Cbr\u003E\n\u003Cstrong\u003ETP 8h\u003C\/strong\u003E\u0026nbsp;\u003Cbr\u003E\n1-Photogramm\u00e9trie : Calibration st\u00e9r\u00e9o, triangulation\u003Cbr\u003E\n2-Mesure par projection de frange : calibration, recalage des donn\u00e9es\u003Cbr\u003E\n3-Mesure capteur laser-plan : calibration, qualification des donn\u00e9es\u003Cbr\u003E\n\u003Cstrong\u003EBE 8h :\u003C\/strong\u003E\u003Cbr\u003E\n1-Association : Algorithme de recalage ICP, Recalage Torseur Petit dep.\u003Cbr\u003E\n2-Partition : Partition nuage de point selon la courbure , calcul op\u00e9rateur laplace beltrami.\u003C\/p\u003E\u003C\/span\u003E\n \u003C\/div\u003E\n \u003C\/div\u003E\n \u003Cdiv class=\u0022field-spacing\u0022\u003E\n \u003Cdiv class=\u0022field__label h3 dash\u0022\u003EObjectifs d\u0026#039;apprentissage\u003C\/div\u003E\n \u003Cdiv class=\u0022mt-5 text-justify\u0022\u003E\n \u003Cspan\u003E\u003Cp\u003ELes processus d\u2019acquisition de g\u00e9om\u00e9trie s\u2019appuient de plus en plus sur des syst\u00e8mes de num\u00e9risation par moyens optiques qui d\u00e9livrent une repr\u00e9sentation de la g\u00e9om\u00e9trie des pi\u00e8ces sous forme de donn\u00e9es discr\u00e8tes (nuages de points, maillages, images, \u2026) en des temps relativement courts. L\u2019objectif de ce cours est de pr\u00e9senter les principes, outils et m\u00e9thodes associ\u00e9s \u00e0 l\u2019acquisition de la g\u00e9om\u00e9trie des formes des pi\u00e8ces par moyens optiques. Ce cours se concentrera plus particuli\u00e8rement sur les syst\u00e8mes par triangulation, de type laser-plan par projection de frange ou st\u00e9r\u00e9ovision.\u003C\/p\u003E\u003C\/span\u003E\n \u003C\/div\u003E\n \u003C\/div\u003E\n \u003Cdiv class=\u0022field-spacing\u0022\u003E\n \u003Cdiv class=\u0022field__label h3 dash\u0022\u003EOrganisation g\u00e9n\u00e9rale et modalit\u00e9s p\u00e9dagogiques\u003C\/div\u003E\n \u003Cdiv class=\u0022mt-5 text-justify\u0022\u003E\n \u003Cspan\u003E\u003Cp\u003EL\u0027UE s\u0027organise autour de TP de d\u00e9couverte permettant d\u0027appr\u00e9hender le fonctionnement des capteurs sans contact ainsi que les probl\u00e9matique associ\u00e9es. Dans un second temps le CM et les TD permettront d\u0027approfondir la mod\u00e9lisation.\u003C\/p\u003E\u003C\/span\u003E\n \u003C\/div\u003E\n \u003C\/div\u003E\n \u003Cdiv class=\u0022field-spacing\u0022\u003E\n \u003Cdiv class=\u0022field__label h3 dash\u0022\u003EComp\u00e9tences\u003C\/div\u003E\n \u003Cdiv class=\u0022mt-5 text-justify\u0022\u003E\n \u003Cspan\u003E\u003Cp\u003E\u00c0 l\u2019issue du module, l\u2019\u00e9tudiant sera capable de :\u003Cbr\u003E\n\u2022\u0026nbsp;\u0026nbsp;\u0026nbsp;\u0026nbsp;S\u00e9lectionner un capteur pour une application donn\u00e9e\u0026nbsp;\u003Cbr\u003E\n\u2022\u0026nbsp;\u0026nbsp;\u0026nbsp;\u0026nbsp;Analyser et qualifier les donn\u00e9es issues des syst\u00e8mes de mesure sans contact\u003Cbr\u003E\n\u2022\u0026nbsp;\u0026nbsp;\u0026nbsp;\u0026nbsp;Mettre en coh\u00e9rence les donn\u00e9es acquises\u003C\/p\u003E\u003C\/span\u003E\n \u003C\/div\u003E\n \u003C\/div\u003E\n \u003Cdiv class=\u0022field-spacing\u0022\u003E\n \u003Cdiv class=\u0022field__label h3 dash\u0022\u003EBibliographie\u003C\/div\u003E\n \u003Cdiv class=\u0022mt-5 text-justify\u0022\u003E\n \u003Cspan\u003E\u003Cp\u003EHartley, R., Zisserman, A., 2004. Multiple view Geometry in computer vision. Cambridge University Press, 672 pages.\u00b7 Build Your Own 3D Scanner: 3D Photography for Beginners SIGGRAPH 2009 Course Notes Wednesday, August 5, 2009 Partition des nuages de points NF EN ISO 18183-3\u003C\/p\u003E\u003C\/span\u003E\n \u003C\/div\u003E\n \u003C\/div\u003E\n \u003Cdiv class=\u0022field-spacing\u0022\u003E\n \u003Cdiv class=\u0022field__label h3 dash\u0022\u003ENature de l\u0026#039;\u00e9valuation\u003C\/div\u003E\n \u003Cdiv class=\u0022mt-5 text-justify\u0022\u003E\n \u003Cspan\u003EEvaluation Continue non Int\u00e9grale\u003C\/span\u003E\n \u003C\/div\u003E\n \u003C\/div\u003E\n \u003C\/div\u003E\n \u003C\/div\u003E\n\u003C\/div\u003E\n","settings":null}]