Author: Scott Krig
Summary: Computer Vision Metrics: Survey, Taxonomy, and Analysis provide 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.