Author: Zen and the Art of Computer Programming
1 Introduction
With the rapid development of information technology, the boom of the Internet, the growing demand of users for rapid information acquisition, and the advancement of emerging technologies such as cloud computing and edge computing, the application of image processing technology is increasing day by day, and image recognition has become an important issue in all walks of life. important means to solve practical problems. Image recognition has a wide range of application scenarios, such as photos taken by mobile phones, product pictures on shopping websites, traffic monitoring in video surveillance systems, text recognition, robot navigation, etc. This article will introduce how to use computer vision technology to realize image recognition functions, and share the latest research progress in face recognition, object detection and other technologies based on deep learning, as well as related case practices. Articles are primarily intended for technical developers, data scientists, and operations engineers.
2. Basic concepts and terminology
2.1 What is computer vision
Computer Vision (CV) refers to a discipline that allows computers to "see", "understand" and "produce intelligent behavior". By processing various input media such as images, videos, sounds, and texts, various functions such as modeling, representation, analysis, perception, classification, identification, and decision-making of the objective world are realized. The basic theories, methods, technologies, algorithms, models and tools involved are collectively referred to as computer vision technology. It is divided into the following aspects:
- Visual 3D reconstruction
- Image feature description
- Image Identification
- search image
- Target Tracking
- visual planning
- visual navigation
- Image-assisted translation
- Intelligent image synthesis
- image editing
- ……
2.2 Key technical elements of computer vision
- Image acquisition and processing
- Camera equipment: Cameras or other methods can be used to collect images, including electronic scans, laser scanners, etc.;
- Image processing algorithm: Clean, crop, transform, denoise, splice, etc. the collected data to extract meaningful information;