Seeing : From Image analysis to 3D Computer vision

Catalogue des cours de Télécom SudParis

Code

IMA 4522

Niveau

Graduate (M1)

Période

Spring (P3)

Domaine

Image

Langue d'enseignement

Anglais

Crédits ECTS

4

Heures programmées / Charge de travail

39 / 90

Responsable(s)

  • HORAIN Patrick

Département

- Electronique et Physique

Objectif

To have hands-on experience of the basic tools and a broad view of the advanced computational techniques involved in machine vision.

Contenu

Lectures :
- Computer vision applications in industry
- Image segmentation: edges, regions, textures
- Mathematical morphology
- 2D image registration
- 2D shape features. Aspect graph
- Hough Transform
- Variational methods for image processing and computer vision
- 3D scene analysis: projective models & invariants, camera calibration, stereovision, epipolar geometry, fundamental matrix,autocalibration
- 3D sensors. 3D shape features. 3D/2D registration, model-based vision
- Vision systems

Labs :
- Image segmentation
- Mathematical morphology
- Determination of the epipolar geometry between two images of the same scene

Prérequis

 

Mots-clés

- image analysis - computer vision - Image segmentation - Mathematical morphology - 2D image registration - Aspect graph - Hough Transform - Variational methods - projective models - projective invariants, - camera calibration, - stereovision, - 3D sensors. - 3D shape features.

Evaluation

Final grades in this class will be based on lab work reports.
Final mark = Average (Lab works).

Approches pédagogiques

 

Programme

Programme Ingénieur

Fiche mise à jour : 20/12/2016 14:49:41