What is computer vision and how does it work?
The opinion of a Swiss IT service provider on the subject of 'Computer vision explained in simple terms'.
Computer vision is the process of understanding digital images by extracting and analysing information. The main goal of computer vision is to create a system that can interpret and understand digital images. This system can be used for various purposes, such as automatic object recognition, face recognition and motion tracking.
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What is Computer Vision
Computer vision is the process of understanding digital images by extracting information from them. This information can be used to identify and track objects in the image or to extract other useful information from the image.
Computer vision is used in a variety of applications, including face recognition, optical character recognition and autonomous vehicles.
How computer vision works
Computer vision is the ability of a computer to interpret and understand digital images. This process is done through a variety of methods, including feature extraction, object recognition and classification.
Feature extraction identifies the important features in an image. This can be done through a variety of methods, such as edge detection, histogram analysis and moment invariants.
Object detection is the process of identifying and recognising objects in an image. This is done by identifying the most important features of the object and then matching them with a known object in a database.
Classification is the process of identifying the type of object in an image. This is done by identifying the main features of the object and then matching them with a known object in a database.
Applications of computer vision
Computer vision is used in many different industries and projects, including:
- Automatic inspection of products
- Automatic recognition of objects and their features
- Automatic tracking of objects in videos
- 3D reconstruction from images
- Medical image analysis
History of Computer Vision
The modern field of computer vision can be traced back to the late 1950s and early 1960s, when several researchers attempted to develop automatic means of recognising objects in digital images. One of the first pioneers in this field was Dr David Lowe, who in 1996 developed a now famous algorithm for recognising objects in digital images.
The future of computer vision
The technology of computer vision is evolving at a rapid pace. With the advent of deep learning, the field of computer vision is becoming more sophisticated and accurate every day. Moreover, computer vision is becoming more accessible to the average user. With the introduction of products like the iPhone X, which has facial recognition technology, computer vision is becoming more prevalent in our everyday lives.
As computer vision technology continues to develop, we can expect even more impressive and life-changing applications of this technology. For example, computer vision could soon be used to diagnose and treat diseases such as cancer. In the future, computer vision could even be used to develop fully autonomous vehicles.
