Undergraduate Topics in Computer Science: An Introduction into Theory and Algorithms

Klette, Reinhard

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.

Details

Published by: Springer

Publication Date: 2014-01-20

Format: Paperback

ISBN-13: 9781447163190

DOI: 10.1007/978-1-4471-6320-6

Dimensions: 235cm x155cm

Pages: 429