Computer Vision Metrics Textbook Edition /
Based on the successful 2014 book published by Apress, this textbook edition is expanded to provide a comprehensive history and state-of-the-art survey for fundamental computer vision methods and deep learning. With over 800 essential references, as well as chapter-by-chapter learning assignments, b...
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Format: | Electronic eBook |
Language: | English |
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Springer International Publishing : Imprint: Springer,
2016.
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Online Access: | Full Text via HEAL-Link |
Table of Contents:
- Image Capture and Representation
- Image Re-processing
- Global and Regional Features
- Local Feature Design Concepts
- Taxonomy of Feature Description Attributes
- Interest Point Detector and Feature Descriptor Survey
- Ground Truth Data, Content, Metrics, and Analysis
- Vision Pipeline and Optimizations
- Feature Learning Architecture Taxonomy and Neuroscience Background
- Feature Learning and Deep Learning Architecture Survey. .