CTU FEE Moodle
3D Computer Vision
B232 - Summer 23/24
3D Computer Vision - XP33VID
Credits | 4 |
Semesters | Winter |
Completion | Exam |
Language of teaching | Czech |
Extent of teaching | 2P+2S |
Annotation
Introduction to perspective geometry, perspective camera. Fundamental and
essential matrices, their robust estimation, camera calibration.
Correspondence problem, structure from motion. The stereoscopic vision
problem, cyclopean representation, disparity, disparity gradient limit,
ordering constraint, four basic formulations of the dense correspondence
problem. Surface model reconstruction from stereovision, error propagation,
examples. Physics of image reflection, image irradiance equation, basic
reflectance models. The shape from Lambertian shading problem. Local shading
analysis. Overview of other Shape-from-X methods. Up-to-date info at
https://cw.felk.cvut.cz/doku.php/courses/xp33vid/start
essential matrices, their robust estimation, camera calibration.
Correspondence problem, structure from motion. The stereoscopic vision
problem, cyclopean representation, disparity, disparity gradient limit,
ordering constraint, four basic formulations of the dense correspondence
problem. Surface model reconstruction from stereovision, error propagation,
examples. Physics of image reflection, image irradiance equation, basic
reflectance models. The shape from Lambertian shading problem. Local shading
analysis. Overview of other Shape-from-X methods. Up-to-date info at
https://cw.felk.cvut.cz/doku.php/courses/xp33vid/start
Study targets
No data.
Course outlines
No data.
Exercises outlines
No data.
Literature
Hartley, R and Zisserman, A. Multiple View Geometry in Computer Vision.
Cambridge Uiversity Press, 2003
Hartley, R and Zisserman, A. Multiple View Geometry in Computer Vision.
Cambridge Uiversity Press, 2003
Requirements
No data.