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Learner Reviews & Feedback for 3D Reconstruction - Single Viewpoint by Columbia University

4.9
stars
36 ratings

About the Course

This course focuses on the recovery of the 3D structure of a scene from its 2D images. In particular, we are interested in the 3D reconstruction
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...
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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.

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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 28, 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 16, 2024

Learnt lots of interesting concepts

By Меруерт К

Apr 25, 2024

goooooooooooooooooooooooooood

By Жансерік М Қ

Apr 20, 2024

классно