16 Facts About Computer vision

Computer vision is an interdisciplinary scientific field that deals with how computers can gain high-level understanding from digital images or videos.

The technological discipline of computer vision seeks to apply its theories and models to the construction of computer vision systems.

Sub-domains of computer vision include scene reconstruction, object detection, event detection, video tracking, object recognition, 3D pose estimation, learning, indexing, motion estimation, visual servoing, 3D scene modeling, and image restoration.

Computer vision is an interdisciplinary field that deals with how computers can be made to gain high-level understanding from digital images or videos.

Some strands of computer vision research are closely related to the study of biological vision—indeed, just as many strands of AI research are closely tied with research into human consciousness, and the use of stored knowledge to interpret, integrate and utilize visual information.

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However, because of the specific nature of images, there are many methods developed within computer vision that have no counterpart in the processing of one-variable signals.

Information about the environment could be provided by a computer vision system, acting as a vision sensor and providing high-level information about the environment and the robot.

Computer vision is used in fashion eCommerce, inventory management, patent search, furniture, and the beauty industry.

Fields most closely related to computer vision are image processing, image analysis and machine vision.

Computer vision covers the core technology of automated image analysis which is used in many fields.

Machine Computer vision usually refers to a process of combining automated image analysis with other methods and technologies to provide automated inspection and robot guidance in industrial applications.

Second application area in computer vision is in industry, sometimes called machine vision, where information is extracted for the purpose of supporting a production process.

Machine Computer vision is heavily used in the agricultural processes to remove undesirable food stuff from bulk material, a process called optical sorting.

Classical problem in computer vision, image processing, and machine vision is that of determining whether or not the image data contains some specific object, feature, or activity.

The specific implementation of a computer vision system depends on whether its functionality is pre-specified or if some part of it can be learned or modified during operation.

Egocentric Computer vision systems are composed of a wearable camera that automatically take pictures from a first-person perspective.