Learner Reviews & Feedback for 3D Reconstruction - Single Viewpoint by Columbia University
About the Course
of a rigid scene from images taken by a stationary camera (same viewpoint). This problem is interesting as we want the multiple images of the
scene to capture complementary information despite the fact that the scene is rigid and the camera is fixed. To this end, we explore several
ways of capturing images where each image provides additional information about the scene. In order to estimate scene properties (depth,
surface orientation, material properties, etc.) we first define several important radiometric concepts, such as, light source int...
Top reviews
CF
Jan 30, 2022
Excellent theoretical course, great content and the teacher explains very well. This course would be great with a complement of labs or small code practices.
MM
Dec 27, 2022
Professor Nayar is an amazing teacher and the lectures are pure gold. FPCV is a great introduction to computer vision.
1 - 8 of 8 Reviews for 3D Reconstruction - Single Viewpoint
By Venkat k
•Mar 27, 2023
Very a great theoretical course! beginners to best understand of cv
By Christian J R F
•Jan 31, 2022
Excellent theoretical course, great content and the teacher explains very well. This course would be great with a complement of labs or small code practices.
By Marco M
•Dec 27, 2022
Professor Nayar is an amazing teacher and the lectures are pure gold. FPCV is a great introduction to computer vision.
By Alex Y
•Sep 10, 2023
Interesting material popular explained. Good as entry point into the Computer Vision world
By Krushi J
•Apr 28, 2022
Amazing course , Well explained and interesting assignments!!!
By Munadi S
•Jan 15, 2024
Learnt lots of interesting concepts
By Меруерт К
•Apr 25, 2024
goooooooooooooooooooooooooood
By Жансерік М Қ
•Apr 20, 2024
классно