Computer Vision Metrics: Survey, Taxonomy, and Analysis
Overview & Synopsis
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.
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Document Information
| Document Title | Computer Vision Metrics: Survey, Taxonomy, and Analysis |
|---|---|
| Author / Organization | Scott Krig |
| Subject & Discipline | Computer and Machine Vision, Artificial Intelligence, Machine Learning, and Logic Programming, Digital Signal Processing (DSP), Sound and Imaging Processing, Human-Computer Interaction |
| Categories | Computer and Machine Vision |
| Publication Year | 2014 |
| ISBN | 1430259299 |
| License / Rights | CC BY 4.0 |
| Resource Verification | Verification pending |
| Original Host Website |
FreeComputerBooks.com
(freecomputerbooks.com)
|
| File Format | application/pdf (Portable Document Format) |
| Language | ENGLISH |
| Catalog ID | DOC-82171 |
| Original Source Link | Visit Source Page on freecomputerbooks.com » |
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