Course Overview

This course provides an introduction to computer vision. It concerns techniques for constructing systems that observe and recognize objects, scenes and activities. It provides training in tools and techniques and models for: the image formation process, color and illumination, image signal processing, multi-scale image description, image analysis, object detection, recognition and tracking, motion capture, modeling and understanding, image matching, multi-camera systems, and 3D reconstruction and modeling.

Learning Achievement

Competence

Course prerequisites

Grading Philosophy

Course schedule

Course type

Lecture

Online Course Requirement

Instructor

Other information

Course content can evolve at any time before the start of the course. It is strongly recommended to discuss with the course contact about the detailed program.

Please consider the following deadlines for inbound mobility to Grenoble:
- April 1st, 2020 for Full Year (September to June) and Fall Semester (September to January) intake ;
- September 1st, 2020 for Spring Semester intake (February – June).

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