Computer Vision Metrics: Survey, Taxonomy, and Analysis

Dublin Core

Title

Computer Vision Metrics: Survey, Taxonomy, and Analysis

Subject

Computer Vision Metrics

Description

In summary, my goal is to survey the methods people are using for feature description— the key metrics generated—and make it easier for anyone to understand the methods in practice, and how to evaluate the methods using the vision taxonomy and robustness criteria to get the results they are looking for, and find areas for extending the state of the art. And after hearing all the feedback from the first version of this work, I hope to create a second version that is even better.

Creator

Scott Krig

Source

https://link.springer.com/content/pdf/10.1007%2F978-1-4302-5930-5.pdf

Publisher

Spinger

Date

2014

Contributor

Baihaqi

Rights

Creative Commons

Format

PDF

Type

Textbooks

Files

Citation

Scott Krig, “Computer Vision Metrics: Survey, Taxonomy, and Analysis,” Open Educational Resource (OER) - USK Library, accessed February 27, 2024, http://uilis.usk.ac.id/oer/items/show/3123.

Document Viewer