|
" Computer vision : "
Richard Szeliski.
Document Type
|
:
|
BL
|
Record Number
|
:
|
809758
|
Doc. No
|
:
|
b623774
|
Main Entry
|
:
|
Szeliski, Richard,1958-
|
Title & Author
|
:
|
Computer vision : : algorithms and applications /\ Richard Szeliski.
|
Publication Statement
|
:
|
London ;New York :: Springer,, ©2011.
|
Series Statement
|
:
|
Texts in computer science,
|
Page. NO
|
:
|
1 online resource (xx, 812 pages) :: illustrations (some color)
|
ISBN
|
:
|
9781848829343
|
|
:
|
: 1848829345
|
|
:
|
: 9781848829350
|
|
:
|
: 1848829353
|
Bibliographies/Indexes
|
:
|
Includes bibliographical references and index.
|
Contents
|
:
|
Introduction -- Image Formation -- Image Processing -- Feature Detection and Matching -- Segmentation -- Feature-based Alignment -- Structure from Motion -- Dense Motion Estimation -- Image Stitching -- Computational Photography -- Stereo Correspondence -- 3D Reconstruction -- Image-based Rendering -- Recognition.
|
Abstract
|
:
|
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.
|
Subject
|
:
|
Computer vision.
|
Subject
|
:
|
Informatique.
|
Subject
|
:
|
Computer vision.
|
Subject
|
:
|
Maschinelles Sehen
|
Subject
|
:
|
Bildverarbeitung
|
Dewey Classification
|
:
|
006.3/7
|
LC Classification
|
:
|
TA1634.S94 2011
|
NLM classification
|
:
|
54.74bcl
|
| |