Concise Computer Vision: An Introduction Into Theory and Algorithms

By Reinhard Klette

This textbook provides an accessible general introduction to the essential topics in computer vision. Classroom-tested programming exercises and review questions are also supplied at the end of each chapter. Features: provides an introduction to the basic notation and mathematical concepts for describing an image and the key concepts for mapping an image into an image; explains the topologic and geometric basics for analysing image regions and distributions of image values and discusses identifying patterns in an image; introduces optic flow for representing dense motion and various topics in sparse motion analysis; describes special approaches for image binarization and segmentation of still images or video frames; examines the basic components of a computer vision system; reviews different techniques for vision-based 3D shape reconstruction; includes a discussion of stereo matchers and the phase-congruency model for image features; presents an introduction into classification and learning.

• Format: Paperback
• Language: English
• ISBN: 1447163192
• ISBN13: 9781447163190
• Release Date: January 2014
• Publisher: Springer
• Length: 429 Pages
• Weight: 1.50 lbs.
• Dimensions: 1.1" x 6.1" x 9.1"