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Book Synopsis
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

Computer Vision Research Progress

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    A Hardback by Zhongkai Zhu

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      Publisher: Nova Science Publishers Inc
      Publication Date: 20/05/2008
      ISBN13: 9781600219924, 978-1600219924
      ISBN10: 1600219926

      Description

      Book Synopsis
      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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