Neuware - Computer vision is the science and technology of machines that see. As a scientific discipline, computer vision is concerned with the theory and technology for building artificial systems that obtain information from images. The image data can take many forms, such as a video sequence, views from multiple cameras, or multi-dimensional data from a medical scanner. As a technological discipline, computer vision seeks to apply the theories and models of computer vision to the construction of computer vision systems. Examples of applications of computer vision systems include systems for controlling processes (e.g. an industrial robot or an autonomous vehicle). Detecting events (e.g. for visual surveillance). Organising information (e.g. for indexing databases of images and image sequences), Modelling objects or environments (e.g. industrial inspection, medical image analysis or topographical modelling), Interaction (e.g. as the input to a device for computer-human interaction). Computer vision can also be describe.

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Bibliographic Details

Title: Computer Vision Research Progress
Publisher: Nova Science Publishers Inc Mai 2008
Publication Date: 2008
Language: English
ISBN 10: 1600219926
ISBN 13: 9781600219924
Binding: Buch
Condition: Neu
Dimensions: 266 millimeters width by 188 millimeters height by 28 millimeters depth
Weight: 990 grams

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Computer vision is the science and technology of machines that see. As a scientific discipline, computer vision is concerned with the theory and technology for building artificial systems that obtain information from images. The image data can take many forms, such as a video sequence, views from multiple cameras, or multi-dimensional data from a medical scanner. As a technological discipline, computer vision seeks to apply the theories and models of computer vision to the construction of computer vision systems. Examples of applications of computer vision systems include systems for controlling processes (e.g. an industrial robot or an autonomous vehicle). Detecting events (e.g. for visual surveillance). Organising information (e.g. for indexing databases of images and image sequences), Modelling objects or environments (e.g. industrial inspection, medical image analysis or topographical modelling), Interaction (e.g. as the input to a device for computer-human interaction). Computer vision can also be describe

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