Image. Nicolas SZAFRAN 2016/2017 UGA - UFR IM 2 AG. Nicolas SZAFRAN (UGA - UFR IM 2 AG) L3 Info - Image 2016/ / 15
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1 Image Nicolas SZAFRAN UGA - UFR IM 2 AG 2016/2017 Nicolas SZAFRAN (UGA - UFR IM 2 AG) L3 Info - Image 2016/ / 15
2 Plan 1 Introduction 2 Images 3 Traitement - analyse d image 4 Synthèse d image Nicolas SZAFRAN (UGA - UFR IM 2 AG) L3 Info - Image 2016/ / 15
3 Plan 1 Introduction Déroulement de l UE 2 Images 3 Traitement - analyse d image 4 Synthèse d image Nicolas SZAFRAN (UGA - UFR IM 2 AG) L3 Info - Image 2016/ / 15
4 Déroulement de l UE Plan 1 Introduction Déroulement de l UE Nicolas SZAFRAN (UGA - UFR IM 2 AG) L3 Info - Image 2016/ / 15
5 Déroulement de l UE 10 séances de 3 heures le vendredi matin 5 cours/td 5 TP Nicolas SZAFRAN (UGA - UFR IM 2 AG) L3 Info - Image 2016/ / 15
6 Déroulement de l UE 10 séances de 3 heures le vendredi matin 5 cours/td 5 TP Modalités d évaluation : TPs avec comptes rendus coef 1/3 examen final écrit coef 2/3 Nicolas SZAFRAN (UGA - UFR IM 2 AG) L3 Info - Image 2016/ / 15
7 Déroulement de l UE 10 séances de 3 heures le vendredi matin 5 cours/td 5 TP Modalités d évaluation : TPs avec comptes rendus coef 1/3 examen final écrit coef 2/3 Site WEB avec les documents de cours et TP : Enseignement - L3 Info Nicolas SZAFRAN (UGA - UFR IM 2 AG) L3 Info - Image 2016/ / 15
8 Déroulement de l UE 10 séances de 3 heures le vendredi matin 5 cours/td 5 TP Modalités d évaluation : TPs avec comptes rendus coef 1/3 examen final écrit coef 2/3 Site WEB avec les documents de cours et TP : Enseignement - L3 Info Adresse szafran@imag.fr pour l envoi des comptes rendus de TP Nicolas SZAFRAN (UGA - UFR IM 2 AG) L3 Info - Image 2016/ / 15
9 Plan 1 Introduction Déroulement de l UE Nicolas SZAFRAN (UGA - UFR IM 2 AG) L3 Info - Image 2016/ / 15
10 L image important média de communication Nicolas SZAFRAN (UGA - UFR IM 2 AG) L3 Info - Image 2016/ / 15
11 L image important média de communication domaine important en informatique Nicolas SZAFRAN (UGA - UFR IM 2 AG) L3 Info - Image 2016/ / 15
12 L image important média de communication domaine important en informatique Deux axes principaux en informatique de l image : Nicolas SZAFRAN (UGA - UFR IM 2 AG) L3 Info - Image 2016/ / 15
13 L image important média de communication domaine important en informatique Deux axes principaux en informatique de l image : la synthèse d image Nicolas SZAFRAN (UGA - UFR IM 2 AG) L3 Info - Image 2016/ / 15
14 L image important média de communication domaine important en informatique Deux axes principaux en informatique de l image : la synthèse d image le traitement / l analyse d image Nicolas SZAFRAN (UGA - UFR IM 2 AG) L3 Info - Image 2016/ / 15
15 Synthèse d image créer une image réaliste (avec une information pertinente) à partir d objets / de modèles réels Nicolas SZAFRAN (UGA - UFR IM 2 AG) L3 Info - Image 2016/ / 15
16 Synthèse d image Nicolas SZAFRAN (UGA - UFR IM 2 AG) L3 Info - Image 2016/ / 15
17 Synthèse d image objet géométrique (2D / 3D) image(s) Nicolas SZAFRAN (UGA - UFR IM 2 AG) L3 Info - Image 2016/ / 15
18 Synthèse d image Modélisation d un objet réel Nicolas SZAFRAN (UGA - UFR IM 2 AG) L3 Info - Image 2016/ / 15
19 Synthèse d image Modèle humain - utilisation en film d animation Nicolas SZAFRAN (UGA - UFR IM 2 AG) L3 Info - Image 2016/ / 15
20 Synthèse d image Visualisation 3D à partir de données IRM Nicolas SZAFRAN (UGA - UFR IM 2 AG) L3 Info - Image 2016/ / 15
21 Traitement / analyse d image A partir d images Nicolas SZAFRAN (UGA - UFR IM 2 AG) L3 Info - Image 2016/ / 15
22 Traitement / analyse d image A partir d images les améliorer Nicolas SZAFRAN (UGA - UFR IM 2 AG) L3 Info - Image 2016/ / 15
23 Traitement / analyse d image A partir d images les améliorer extraire des informations / caractéristiques particulières Nicolas SZAFRAN (UGA - UFR IM 2 AG) L3 Info - Image 2016/ / 15
24 Traitement / analyse d image image(s) caractéristique(s) / objet(s) géométrique(s) (2D / 3D) Nicolas SZAFRAN (UGA - UFR IM 2 AG) L3 Info - Image 2016/ / 15
25 Traitement / analyse d image Image originale p Histogramme original Image modifiée p Histogramme modifié Histogramme et correction d image Nicolas SZAFRAN (UGA - UFR IM 2 AG) L3 Info - Image 2016/ / 15
26 Traitement / analyse d image Utilisation de filtres Nicolas SZAFRAN (UGA - UFR IM 2 AG) L3 Info - Image 2016/ / 15
27 Traitement / analyse d image Détection de droites par transformée de Hough Nicolas SZAFRAN (UGA - UFR IM 2 AG) L3 Info - Image 2016/ / 15
28 Traitement / analyse d image Détection de droites par transformée de Hough Nicolas SZAFRAN (UGA - UFR IM 2 AG) L3 Info - Image 2016/ / 15
29 Traitement / analyse d image Détection de droites par transformée de Hough Nicolas SZAFRAN (UGA - UFR IM 2 AG) L3 Info - Image 2016/ / 15
30 Traitement / analyse d image Détection de droites par transformée de Hough Nicolas SZAFRAN (UGA - UFR IM 2 AG) L3 Info - Image 2016/ / 15
31 Quelques applications Nicolas SZAFRAN (UGA - UFR IM 2 AG) L3 Info - Image 2016/ / 15
32 Quelques applications vision robotique, modélisation automatique, indexation d images, Nicolas SZAFRAN (UGA - UFR IM 2 AG) L3 Info - Image 2016/ / 15
33 Quelques applications vision robotique, modélisation automatique, indexation d images, interfaces graphiques, cartographie, Nicolas SZAFRAN (UGA - UFR IM 2 AG) L3 Info - Image 2016/ / 15
34 Quelques applications vision robotique, modélisation automatique, indexation d images, interfaces graphiques, cartographie, visualisation scientique, imagerie médicale, CAO (mécanique, architecture), Nicolas SZAFRAN (UGA - UFR IM 2 AG) L3 Info - Image 2016/ / 15
35 Quelques applications vision robotique, modélisation automatique, indexation d images, interfaces graphiques, cartographie, visualisation scientique, imagerie médicale, CAO (mécanique, architecture), dessins animés, effets spéciaux, jeux (contribution importante à la popularité de la synthèse d images), Nicolas SZAFRAN (UGA - UFR IM 2 AG) L3 Info - Image 2016/ / 15
36 Quelques applications vision robotique, modélisation automatique, indexation d images, interfaces graphiques, cartographie, visualisation scientique, imagerie médicale, CAO (mécanique, architecture), dessins animés, effets spéciaux, jeux (contribution importante à la popularité de la synthèse d images), simulation, réalité virtuelle, réalité augmentée, Nicolas SZAFRAN (UGA - UFR IM 2 AG) L3 Info - Image 2016/ / 15
37 Quelques applications vision robotique, modélisation automatique, indexation d images, interfaces graphiques, cartographie, visualisation scientique, imagerie médicale, CAO (mécanique, architecture), dessins animés, effets spéciaux, jeux (contribution importante à la popularité de la synthèse d images), simulation, réalité virtuelle, réalité augmentée,... Nicolas SZAFRAN (UGA - UFR IM 2 AG) L3 Info - Image 2016/ / 15
38 Images Plan 1 Introduction 2 Images 3 Traitement - analyse d image 4 Synthèse d image Nicolas SZAFRAN (UGA - UFR IM 2 AG) L3 Info - Image 2016/ / 15
39 Traitement - analyse d image Plan 1 Introduction 2 Images 3 Traitement - analyse d image 4 Synthèse d image Nicolas SZAFRAN (UGA - UFR IM 2 AG) L3 Info - Image 2016/ / 15
40 Synthèse d image Plan 1 Introduction 2 Images 3 Traitement - analyse d image 4 Synthèse d image Nicolas SZAFRAN (UGA - UFR IM 2 AG) L3 Info - Image 2016/ / 15
Image. Nicolas SZAFRAN UGA - UFR IM 2 AG. Nicolas SZAFRAN (UGA - UFR IM 2 AG) M1-MAI - Image / 180
Image Nicolas SZAFRAN UGA - UFR IM 2 AG 2015-2016 Nicolas SZAFRAN (UGA - UFR IM 2 AG) M1-MAI - Image 2015-2016 1 / 180 Plan 1 Introduction 2 Image numérique 3 Traitement - analyse d image Nicolas SZAFRAN
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