A Modern Approach to Computer Vision
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The scientific field which is concerned with how computers can be made to gain high-level understanding from videos or digital images, is known as computer vision. Some of the common tasks of computer vision include acquiring, analyzing, processing and understanding digital images as well as the extraction of high-dimensional data from real world to produce numerical or symbolic information. There are various sub-domains of computer vision such as event detection, scene reconstruction, video tracking, 3D pose estimation, image restoring, motion estimation and object recognition. Signal process...
The scientific field which is concerned with how computers can be made to gain high-level understanding from videos or digital images, is known as computer vision. Some of the common tasks of computer vision include acquiring, analyzing, processing and understanding digital images as well as the extraction of high-dimensional data from real world to produce numerical or symbolic information. There are various sub-domains of computer vision such as event detection, scene reconstruction, video tracking, 3D pose estimation, image restoring, motion estimation and object recognition. Signal processing, solid-state physics and information engineering are some of the related fields of computer vision. This book presents the complex subject of computer vision in the most comprehensible and easy to understand language. The topics covered herein deal with the core aspects of this field. This textbook is appropriate for students seeking detailed information in this area as well as for experts.
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