Computer Vision Metrics: Survey, Taxonomy, and Analysis provides an extensive survey and analysis of current and historical feature description and machine vision methods, with a detailed taxonomy for local, regional and global features. The taxonomy includes search methods, spectra components, descriptor representation, shape, distance functions, accuracy, efficiency, robustness and invariance attributes, and more.
This is an ApressOpen book.
Topics included: Image Capture and Representation • Image Pre-Processing • Global and Regional Features • Local Feature Design Concepts, Classification, and Learning • Taxonomy Of Feature Description Attributes • Interest Point Detector and Feature Descriptor Survey • Ground Truth Data, Data, Metrics, and Analysis • Vision Pipelines and Optimizations
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Published: June 2014
Format(s): PDF, ePub, Mobi
File size: 16.01 MB(pdf)
Number of pages: 498
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