3D Computer Vision

Course guarantor:

Radim Šára

Lecturer:

Radim Šára

Tutor:

Radim Šára

Supervisor:

Department of Cybernetics

Synopsis:

This course introduces methods and algorithms for 3D geometric scene reconstruction from images. The student will understand these methods and their essence well enough to be able to build variants of simple systems for the reconstruction of 3D objects from a set of images or video, for inserting virtual objects into the video signal source, or for computing the ego-motion trajectory from a sequence of images. The labs will be hands-on, and the students will gradually build a small functional 3D scene reconstruction system.

Up-to-date info at https://cw.fel.cvut.cz/wiki/courses/tdv/start

Requirements:

Syllabus of lectures:

Syllabus of tutorials:

Study Objective:

Study materials:

Hartley, R and Zisserman, A. Multiple View Geometry in Computer Vision.

Cambridge Uiversity Press, 2003

Note:

Further information:

https://cw.fel.cvut.cz/wiki/courses/tdv/start

Time-table for winter semester 2025/2026:

	06:00–08:0008:00–10:0010:00–12:0012:00–14:0014:00–16:0016:00–18:0018:00–20:0020:00–22:0022:00–24:00
Mon
Tue
Wed	roomKN:E-301 Šára R. 11:00–12:30 (lecture parallel0) Karlovo nám.
Thu
Fri

Time-table for summer semester 2025/2026:

Time-table is not available yet

The course is a part of the following study plans:

• Doctoral studies, daily studies (compulsory elective course)
• Doctoral studies, combined studies (compulsory elective course)
• Doctoral studies, structured daily studies (compulsory elective course)
• Doctoral studies, structured combined studies (compulsory elective course)