Information Theory in Computer Vision and Pattern Recognition

• Main Authors: Escolano, Francisco. (Author), Suau, Pablo. (Author), Bonev, Boyǹ. (Author)
• Corporate Author: SpringerLink (Online service)
• Format: Electronic
• Language: English
• Published: London : Springer London, 2009.
• Subjects: Computer science.; Artificial intelligence.; Optical pattern recognition.; Computer Science.; Pattern Recognition.; Probability and Statistics in Computer Science.; Artificial Intelligence (incl. Robotics).
• Online Access: https://ezaccess.library.uitm.edu.my/login?url=http://dx.doi.org/10.1007/978-1-84882-297-9

Information Theory (IT) can be highly effective for formulating and designing algorithmic solutions to many problems in Computer Vision and Pattern Recognition (CVPR). This text introduces and explores the measures, principles, theories, and entropy estimators from IT underlying modern CVPR algorith...

Table of Contents:

• Introduction
• Interest Points, Edges and Contour Grouping
• Contour and Region Based Image Segmentation
• Registration, Matching, and Recognition
• Image and Pattern Clustering
• Feature Selection and Transformation
• Classifier Design.