Concise Computer Vision : An Introduction into Theory and Algorithms Paperback / softback
by Reinhard Klette
Part of the Undergraduate Topics in Computer Science series
Paperback / softback
Description
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.
Information
-
Out of stock
- Format:Paperback / softback
- Pages:429 pages, 229 Illustrations, color; 69 Illustrations, black and white; XVIII, 429 p. 298 illus., 22
- Publisher:Springer London Ltd
- Publication Date:20/01/2014
- Category:
- ISBN:9781447163190
Other Formats
- PDF from £34.84
Information
-
Out of stock
- Format:Paperback / softback
- Pages:429 pages, 229 Illustrations, color; 69 Illustrations, black and white; XVIII, 429 p. 298 illus., 22
- Publisher:Springer London Ltd
- Publication Date:20/01/2014
- Category:
- ISBN:9781447163190
