Computer vision is an interdisciplinary field that deals with how computers can be used to gain a high-level understanding of digital images or videos. It is a combination of several fields, including computer science, mathematics, engineering, and artificial intelligence. Computer vision is used to analyze, interpret, and understand digital images or videos, and it has a wide range of applications, from facial recognition systems to self-driving cars.
Computer vision is the process of using algorithms to interpret and understand the contents of a digital image or video. It is a subfield of artificial intelligence and computer science that deals with how computers can be used to gain a high-level understanding of digital images or videos. Computer vision algorithms are used to analyze digital images and videos, and they can be used to identify objects, recognize faces, and track movement.
Computer vision algorithms use a combination of techniques, including feature detection, pattern recognition, and image segmentation. Feature detection is the process of identifying key points in an image or video, such as edges, corners, and lines. Pattern recognition is the process of recognizing patterns in an image or video, such as shapes and colors. Image segmentation is the process of dividing an image into smaller regions, such as objects and backgrounds.
Computer vision has a wide range of applications, from facial recognition systems to self-driving cars. Facial recognition systems use computer vision algorithms to identify people in digital images or videos. Self-driving cars use computer vision algorithms to detect objects in the environment and navigate around them. Computer vision algorithms are also used in medical imaging systems, surveillance systems, and robotics.
Computer vision is a rapidly growing field and it is being used in a variety of industries. It is an exciting and rapidly evolving field of research, and it is revolutionizing how computers are used to interpret and understand digital images and videos.