Computer Vision Metrics Textbook Edition 1st Edition by Scott Krig – Ebook PDF Instant Download/Delivery: 9783319337623 ,3319337629
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Product details:
ISBN 10: 3319337629
ISBN 13: 9783319337623
Author: Scott Krig
Based on the successful 2014 book published by Apress, this textbook edition is expanded to provide a comprehensive history and state-of-the-art survey for fundamental computer vision methods and deep learning. With over 800 essential references, as well as chapter-by-chapter learning assignments, both students and researchers can dig deeper into core computer vision topics and deep learning architectures. The survey covers everything from feature descriptors, regional and global feature metrics, feature learning architectures, deep learning, neuroscience of vision, neural networks, and detailed example architectures to illustrate computer vision hardware and software optimization methods. To complement the survey, the textbook includes useful analyses which provide insight into the goals of various methods, why they work, and how they may be optimized. The text delivers an essential survey and a valuable taxonomy, thus providing a key learning tool for students, researchers and engineers, to supplement the many effective hands-on resources and open source projects, such as OpenCV and other imaging and deep learning tools.
Computer Vision Metrics Textbook Edition 1st Edition Table of contents:
Front Matter
1. Image Capture and Representation
2. Image Pre-Processing
3. Global and Regional Features
4. Local Feature Design Concepts
5. Taxonomy of Feature Description Attributes
6. Interest Point Detector and Feature Descriptor Survey
7. Ground Truth Data, Content, Metrics, and Analysis
8. Vision Pipelines and Optimizations
9. Feature Learning Architecture Taxonomy and Neuroscience Background
10. Feature Learning and Deep Learning Architecture Survey
Back Matter
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