Home » Others » Computer Vision Metrics

Computer Vision Metrics

Computer Vision Metrics

Computer Vision Metrics provides an extensive survey and analysis of over 100 current and historical feature description and machine vision methods, with a detailed taxonomy for local, regional and global features. This book provides necessary background to develop intuition about why interest point detectors and feature descriptors actually work, how they are designed, with observations about tuning the methods for achieving robustness and invariance targets for specific applications. The survey is broader than it is deep, with over 540 references provided to dig deeper. The taxonomy includes search methods, spectra components, descriptor representation, shape, distance functions, accuracy, efficiency, robustness and invariance attributes, and more. Rather than providing 'how-to' source code examples and shortcuts, this book provides a counterpoint discussion to the many fine opencv community source code resources available for hands-on practitioners.
Download free tutorial in PDF (508 pages) created by Scott Krig .

Pages : 508
File type : PDF
Downloads: 20
Submitted On: 2021-05-15
License: Free
Author(s): Scott Krig

Take advantage of this course called Computer Vision Metrics to improve your Others skills and better understand Vision Metrics.

This course is adapted to your level as well as all Vision Metrics pdf courses to better enrich your knowledge.

All you need to do is download the training document, open it and start learning Vision Metrics for free.

This tutorial has been prepared for the beginners to help them understand basic Vision Metrics Others. After completing this tutorial you will find yourself at a moderate level of expertise in Vision Metrics from where you can take yourself to next levels.

This tutorial is designed for Vision Metrics students who are completely unaware of Vision Metrics concepts but they have basic understanding on Others training.


Tutorials in the same categorie :