Computer Vision: Algorithms and Applications Contributor(s): Szeliski, Richard (Author) |
|
ISBN: 1848829345 ISBN-13: 9781848829343 Publisher: Springer OUR PRICE: $104.49 Product Type: Hardcover - Other Formats Published: October 2010 * Not available - Not in print at this time * |
Additional Information |
BISAC Categories: - Computers | Computer Graphics - Computers | Image Processing |
Dewey: 006.37 |
LCCN: 2010936817 |
Series: Texts in Computer Science |
Physical Information: 1.5" H x 8.9" W x 11.3" (5.40 lbs) 812 pages |
Descriptions, Reviews, Etc. |
Publisher Description: Humans perceive the three-dimensional structure of the world with apparent ease. However, despite all of the recent advances in computer vision research, the dream of having a computer interpret an image at the same level as a two-year old remains elusive. Why is computer vision such a challenging problem and what is the current state of the art? Computer Vision: Algorithms and Applications explores the variety of techniques commonly used to analyze and interpret images. It also describes challenging real-world applications where vision is being successfully used, both for specialized applications such as medical imaging, and for fun, consumer-level tasks such as image editing and stitching, which students can apply to their own personal photos and videos. More than just a source of "recipes," this exceptionally authoritative and comprehensive textbook/reference also takes a scientific approach to basic vision problems, formulating physical models of the imaging process before inverting them to produce descriptions of a scene. These problems are also analyzed using statistical models and solved using rigorous engineering techniques Topics and features:
Suitable for an upper-level undergraduate or graduate-level course in computer science or engineering, this textbook focuses on basic techniques that work under real-world conditions and encourages students to push their creative boundaries. Its design and exposition also make it eminently suitable as a unique reference to the fundamental techniques and current research literature in computer vision. |