Section outline

    • Premise.  3D computer vision is a branch of computer vision devoted specifically to the extraction of 3D information from images and videos. 
    • Aims. The course aims to provide the basics of 3D computer vision: we will start from an introduction to digital images and image formation geometric models and we will explore three main directions: planar scenes, stere-systems, and pose estimation 
    • Exam. Oral exam consisting of a discussion of a computational project previously agreed with the teacher and questions on the material covered in the course.
    • Student assistance hours: please contact the instructor  francesca.odone@unige.it