Machine Intelligence & Pattern Recognition Series

Progress in Pattern Recognition

Published December 1981

This volume contains nine papers, one of them nearly of monograph length (by L. Goldfarb), covering a broad range of topics in pattern recognition and computer vision. Three papers discuss the architectural and computational aspects of image processing and computer vision. The second trio of papers surveys three fundamental areas of vision: texture, shape and motion, while the final set of papers deals with pattern recognition theory, including classification rules and decision trees. The last paper presents a mathematical treatment of pattern recognition based on representing patterns in pseudoeuclidian vector spaces.