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 ...
Get OpenCV: Computer Vision Projects with Python now with the O’Reilly learning platform.
O’Reilly members experience books, live events, courses curated by job role, and more from O’Reilly and nearly 200 top publishers.
