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.
3D Reconstruction - Single Viewpoint
This course is part of First Principles of Computer Vision Specialization
Instructor: Shree Nayar
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What you'll learn
Learn radiometric concepts related to light and how it interacts with scenes.
Understand reflectance models and the different physical mechanisms that determine the appearance of a surface.
Develop a method for recovering the shape of a surface from its shading.
Understand the principle of photometric stereo where a dense surface normal map of the scene is obtained by varying the illumination direction.
Skills you'll gain
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There are 6 modules in this course
What's included
7 readings2 discussion prompts8 plugins
What's included
7 assignments2 discussion prompts7 plugins
What's included
7 assignments2 discussion prompts7 plugins
What's included
6 assignments2 discussion prompts5 plugins
What's included
5 assignments2 discussion prompts4 plugins
What's included
1 reading6 assignments2 discussion prompts7 plugins
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École Polytechnique Fédérale de Lausanne
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