Information Theory in Computer Vision and Pattern Recognition

• Κύριοι συγγραφείς: Escolano, Francisco (Συγγραφέας), Suau, Pablo (Συγγραφέας), Bonev, Boyán (Συγγραφέας)
• Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
• Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
• Γλώσσα: English
• Έκδοση: London : Springer London, 2009.
• Θέματα: Computer science.; Mathematical statistics.; Artificial intelligence.; Image processing.; Pattern recognition.; Computer Science.; Image Processing and Computer Vision.; Pattern Recognition.; Probability and Statistics in Computer Science.; Artificial Intelligence (incl. Robotics).

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...

Πίνακας περιεχομένων:

• 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.