This textbook provides a concise and accessible general introduction to the essential topics in computer vision, complete with classroom-tested programming exercises and review questions supplied at the end of each chapter. This enhanced and updated new edition also includes two new chapters on uncertainties and on learning.
Provides classroom-tested programming exercises and review questions at the end of each chapter
Includes supporting information on historical context, suggestions for further reading and hints on mathematical subjects under discussion
Enhanced and updated new edition, containing new content on uncertainties and on learning
Reinhard Klette
Computer Vision Feature Detection and Tracking Image Processing and Analysis Image Segmentation Object Detection Shape Reconstruction