Computer Vision Metrics

Textbook Edition

Nonfiction, Computers, Advanced Computing, Artificial Intelligence, Database Management, General Computing
Cover of the book Computer Vision Metrics by Scott Krig, Springer International Publishing
View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart
Author: Scott Krig ISBN: 9783319337623
Publisher: Springer International Publishing Publication: September 16, 2016
Imprint: Springer Language: English
Author: Scott Krig
ISBN: 9783319337623
Publisher: Springer International Publishing
Publication: September 16, 2016
Imprint: Springer
Language: English

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.

View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart

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.

More books from Springer International Publishing

Cover of the book Advances in Swarm Intelligence by Scott Krig
Cover of the book Models, Mindsets, Meta: The What, the How, and the Why Not? by Scott Krig
Cover of the book Efflux-Mediated Antimicrobial Resistance in Bacteria by Scott Krig
Cover of the book Data and Applications Security and Privacy XXIX by Scott Krig
Cover of the book The Laws of Scientific Change by Scott Krig
Cover of the book GeoComputational Analysis and Modeling of Regional Systems by Scott Krig
Cover of the book Management of Early Progressive Corneal Ectasia by Scott Krig
Cover of the book Understanding Novelty in Organizations by Scott Krig
Cover of the book Grammar for Teachers by Scott Krig
Cover of the book Measurement, Testing and Sensor Technology by Scott Krig
Cover of the book Falkland Islands (Islas Malvinas) in the Permo-Carboniferous by Scott Krig
Cover of the book Pattern Recognition and Image Analysis by Scott Krig
Cover of the book Agammaglobulinemia by Scott Krig
Cover of the book Plants on Plants – The Biology of Vascular Epiphytes by Scott Krig
Cover of the book Trends in Functional Programming by Scott Krig
We use our own "cookies" and third party cookies to improve services and to see statistical information. By using this website, you agree to our Privacy Policy