Computer Vision, Machine Vision, and Image Processing
Reference documents in Computer Vision, Machine Vision, and Image Processing.
Documents in Computer Vision, Machine Vision, and Image Processing
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This book is the official reference guide for VTK - the theory and practice of visualization using the VTK Visualization Toolkit software.
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A new theory and methodology for the application of computer vision methods to the computational analysis of collected, digitized visual materials, called “distant viewing”.
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This book explores the variety of techniques used to analyze and interpret images. It also describes challenging real-world applications where vision is being successfully used, both in specialized applications such as image search and autonomous navigation, as well as for fun, consumer-level tasks that students can apply to their own personal photos and videos.
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An accessible, authoritative, and up-to-date computer vision textbook offering a comprehensive introduction to the foundations of the field that incorporates the latest deep learning advances.
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This open access book is a comprehensive review of the methods and algorithms that are used in the reconstruction of events recorded by past, running and planned experiments at particle accelerators such as the LHC, SuperKEKB and FAIR.