"Computer Vision"
0.1 Book information
Title: "Computer Vision" Computer Vision
Author: Compiled by Liang Wei and Pei Mingtao
Publisher: Beijing Institute of Technology Press
Publication time: 2021.01.01
Pages: 174 pages
0.2 Introduction
Computer vision is the science that studies how computers can understand visual information such as images and videos like humans.
The scene or video is captured by the camera instead of the human eye, and the brain is analyzed by the intelligent algorithm to obtain an understanding of the picture or video in the scene.
Main content :
Image formation, basic image processing methods, image features, texture analysis, image segmentation, model fitting, 3D reconstruction, object detection, tracking, recognition, etc., and the deep learning that began to emerge in 2006 in computer vision Typical applications are introduced.
Chapter directory:
12 chapters in total
1. Overview of Computer Vision
2. Image Formation
3. Image processing
4. Local features of the image
5. Texture analysis
6. Image Segmentation
7. Model Fitting
8. 3D reconstruction
9. Visual object tracking
10. Image Classification
11. Object detection
12. Deep Learning and Computer Vision
Next, we will update the organized version of the notes in each chapter, mainly to make a study record for later viewing. If you need it, you can use it yourself, I hope it can help you!