Computer Vision Metrics - Textbook Edition
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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.
Détails du produit
Provides the most complete survey of computer vision feature description methods including local, regional, global, and basis feature learning via deep learning and neural networks
Offers learning assignments at the end of each chapter for student or instructor use
Includes techniques for optimizing computer vision algorithm performance such as SW and HW architecture considerations