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Computer Vision Metrics: Survey, Taxonomy, and Analysis by Scott Krig

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Introduction

Dirt. This is a jar of dirt.

Yes.

. . . Is the jar of dirt going to help?

If you don’t want it, give it back.

—Pirates Of The Carribean, Jack Sparrow and Tia Dalma

This work focuses on a slice through the field - Computer Vision Metrics – from the view of feature description metrics, or how to describe, compute and design the macro-features and micro-features that make up larger objects in images. The focus is on the pixel-side of the vision pipeline, rather than the back-end training, classification, machine learning and matching stages. This book is suitable for reference, higher-level courses, and self-directed study in computer vision. The book is aimed at someone already familiar with computer vision and image processing; ...

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