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point of view. Empirical Evaluation Techniques in Computer Vision covers methods that allow comparative assessment of algorithms and the;
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how to apply it for food quality evaluationIncludes a wide variety of computer vision techniques and applications to evaluate a wide;
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This book constitutes the refereed proceedings of the 8th International Conference on Computer Vision Systems, ICVS 2011, held in Sophia;
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correspondence estimation techniques are now successfully being used to solve a wide range of computer vision problems, very different from the;
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Design and develop end-to-end, production-grade computer vision projects for real-world industry problems. This book discusses computer;
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modeling, and 2D and 3D human body modeling for improving clothing fit. It introduces the fundamentals of computer vision techniques for fashion;
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Computer Vision for Assistive Healthcare describes how advanced computer vision techniques provide tools to support common human needs;
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Performance evaluation is at the foundation of computer architecture research and development. Contemporary microprocessors are so complex;
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evaluation. Also, numerous practice cases and detailed exercises offer a complete grasp of crucial concepts and techniques. This new edition;
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evaluation. Also, numerous practice cases and detailed exercises offer a complete grasp of crucial concepts and techniques. This new edition;
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This book gives a comprehensive overview of the most advanced theories, methodologies and applications in computer vision. Particularly, it;
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techniques and technologies for machine learning in computer vision systems, including: * PRTools5 software for MATLAB especially the latest;
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This book describes active illumination techniques in computer vision. We can classify computer vision techniques into two classes: passive;
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This book describes active illumination techniques in computer vision. We can classify computer vision techniques into two classes: passive;
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Appropriate for upper-division undergraduate- and graduate-level courses in computer vision found in departments of Computer Science;
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The two-volume set LNCS 1842/1843 constitutes the refereed proceedings of the 6th European Conference on Computer Vision, ECCV 2000, held;
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evaluate the performance of computer communication systems, thereby covering all aspects of model-based performance evaluation. Unlike other books;
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in topical sections on human-computer interaction; image processing and computer vision; natural language processing.;
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Discover the deep learning techniques required to build computer vision applications Build complex computer vision applications using the latest;
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of computer vision algorithms. Template Matching Techniques in Computer Vision is primarily aimed at practitioners working on the development;
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presents an overview of how medical imaging data can be analyzed to provide better diagnosis and treatment of disease. Computer vision techniques;
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with the 14th European Conference on Computer Vision, ECCV 2016, held in Amsterdam, The Netherlands, in October 2016. 27 workshops from 44;
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This book presents all techniques of performance evaluation of computers, networks, and telecommunications in a balanced manner. It;
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papers deal with interventional and diagnostic endoscopy integrating the latest advances in computer vision, robotics, medical imaging and;
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Computer vision has become increasingly important and effective in recent years due to its wide-ranging applications in areas as diverse as;
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text is interleaved with successful computer vision applications of the explained techniques. For convenience the reader can find a summary;
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Provides comprehensive coverage of theory and hands-on implementation of computer vision-based sensors for structural health monitoring;
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