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PA - C5B - INF584 : Images de synthèse : théorie et pratique

Domaine > Informatique.

Descriptif

Image synthesis a.k.a. "rendering", is a central theme of 3D computer graphics which combines a set of artificial imaging methods to automatically generate digital images from virtual 3D scene models. Rendering is a transdiscplinary topic located at the interface between computer science, physics, applied mathematics and perception. It is used extensively in the areas of computer-aided design, virtual and augmented reality, visual special effects, digital animation, video games, simulation and architecture.

This course presents the principles, algorithms and techniques of image synthesis. It deals in particular with digital models of shape, appearance, lighting and sensors present in a 3D scene. The rendering equation, as well as standard illumination, shading and reflectance models are presented. Various rendering algorithms based on these models are detailed, including rasterization (projective rendering) and ray tracing. Real-time rendering, GPU programming and hierarchical spatial data structures are also covered. Finally, an opening towards global illumination concludes the course.

This course has a strong practical dimension, where students implement the models and algorithms throughout the quarter, using the C++ language ​​and the OpenGL API (mandatory technical notions are recalled during the course). At the end of the course, students have acquired the ability to develop complete interactive 3D rendering systems as well as a detailed knowledge of the process of light transport simulation and digital image formation from a 3D scene.

All information about the courses can be accessed via this link: http://www.enseignement.polytechnique.fr/informatique/INF584/


Langue du cours : Anglais & Français

Credits ECTS : 4

Format des notes

Numérique sur 20

Littérale/grade réduit

Pour les étudiants du diplôme Diplôme d'ingénieur de l'Ecole polytechnique

Le rattrapage est autorisé
    L'UE est acquise si note finale transposée >= C

      Pour les étudiants du diplôme Artificial Intelligence and Advanced Visual Computing

      Le rattrapage est autorisé
        L'UE est acquise si note finale transposée >= C
        • Crédits ECTS acquis : 4 ECTS

        Pour les étudiants du diplôme Innovation Technologique : ingénierie et entrepreneuriat

        Le rattrapage est autorisé
          L'UE est acquise si note finale transposée >= C
          • Crédits ECTS acquis : 4 ECTS

          La note obtenue rentre dans le calcul de votre GPA.

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