Computer Vision is a field of computer science that deals with the extraction, analysis, and understanding of useful information from images. It is also sometimes referred to as image understanding or visual recognition.
Computer Vision is used in a variety of text analytics applications to automatically identify and analyze images. For example, it can be used to automatically detect and extract text from images or to identify and categorize different types of images.
Disadvantages of Computer Vision
Computer Vision can be computationally intensive, and therefore may not be suitable for real-time applications. In addition, it can be difficult to train a computer to accurately recognize objects in images, especially if the objects are small or poorly lit. Finally, image understanding is an active area of research, and new methods are constantly being developed. As a result, Computer Vision is an ever-changing field, and it can be difficult to keep up with the latest advances.
Computer Vision vs. Similar Terms
Computer Vision is often confused with other similar terms, such as image processing and computer graphics. However, there are some important distinctions between these fields. Image processing deals with the manipulation of digital images, while computer graphics deals with the generation of images using computers. Computer Vision, on the other hand, focuses on understanding images.