Computer Vision is an interdisciplinary exhibition that focuses on how computers can be made to understand digital images or videos. From the perspective of engineering, it attempts to automate tasks that the human visual system can perform.
Computer Vision tasks include methods of acquiring and processing
Analyzing and understanding digital images and extracting high-dimensional data from the real world to generate numerical or symbolic information, in the form of decisions. Understanding in this context means the transformation of visual images (the input of the retina) into descriptions of the world, which can connect with other thought processes and trigger corresponding measures. This understanding of the image can be understood as the unbundling of symbolic information from image data using models.
Computer vision exhibition includes scene reconstruction, event detection, video tracking, object recognition, 3D pose estimation, learning, indexing, motion estimation, and image recovery.
What distinguished Computer Vision from the then dominant field of digital image processing was the desire to extract three-dimensional structures from images in order to achieve a comprehensive understanding of the scene. Studies in the 1970s provided the first foundations for many of today’s existing algorithms for computer vision, including the extraction of edges from images, the labeling of lines, non-polyhedral and polyhedral modeling, the representation of objects as compounds of smaller structures.
Related fields
Areas of artificial intelligence are concerned with autonomous planning or consideration for robotic systems to navigate through an environment. Navigating these environments requires a detailed understanding of these environments. Information about the environment could be provided by a computer vision system that acts as a vision sensor and provides high-level information about the environment and the robot. Artificial intelligence and computer vision share other topics such as pattern recognition and learning techniques. As a result, computer vision is sometimes considered as part of the artificial intelligence field or the computer science field in general.
