Concise Computer Vision: An Introduction into Theory and Algorithms

✍ Scribed by Reinhard Klette (auth.)

• Publisher: Springer-Verlag London
• Year: 2014
• Tongue: English
• Leaves: 441
• Series: Undergraduate Topics in Computer Science
• Edition: 1
• Category: Library

✦ Synopsis

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.

✦ Table of Contents

Front Matter....Pages I-XVIII
Image Data....Pages 1-42
Image Processing....Pages 43-87
Image Analysis....Pages 89-133
Dense Motion Analysis....Pages 135-166
Image Segmentation....Pages 167-214
Cameras, Coordinates, and Calibration....Pages 215-243
3D Shape Reconstruction....Pages 245-286
Stereo Matching....Pages 287-330
Feature Detection and Tracking....Pages 331-374
Object Detection....Pages 375-413
Back Matter....Pages 415-429

✦ Subjects

Image Processing and Computer Vision; Computing Methodologies