October 2016
Intermediate to advanced
558 pages
12h 39m
English
Content preview from OpenCV: Computer Vision Projects with PythonBecome an O’Reilly member and get unlimited access to this title plus top books and audiobooks from O’Reilly and nearly 200 top publishers, thousands of courses curated by job role, 150+ live events each month,
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Chapter 10. Stereo Vision and 3D Reconstruction
In this chapter, we are going to learn about stereo vision and how we can reconstruct the 3D map of a scene. We will discuss epipolar geometry, depth maps, and 3D reconstruction. We will learn how to extract 3D information from stereo images and build a point cloud.
By the end of this chapter, you will know:
- What is stereo correspondence
- What is epipolar geometry
- What is a depth map
- How to extract 3D information
- How to build and visualize the 3D map of a given scene
What is stereo correspondence?
When we capture images, we project the 3D world around us on a 2D image plane. So technically, we only have 2D information when we capture those photos. Since all the objects in that scene are projected onto a flat ...
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