Computer Vision (Record no. 75156)

000 -LEADER
fixed length control field 04591nam a22004815i 4500
001 - CONTROL NUMBER
control field 978-1-84882-935-0
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20220801140057.0
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 101013s2011 xxk| s |||| 0|eng d
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
ISBN 9781848829350
-- 978-1-84882-935-0
082 04 - CLASSIFICATION NUMBER
Call Number 006.37
100 1# - AUTHOR NAME
Author Szeliski, Richard.
245 10 - TITLE STATEMENT
Title Computer Vision
Sub Title Algorithms and Applications /
250 ## - EDITION STATEMENT
Edition statement 1st ed. 2011.
300 ## - PHYSICAL DESCRIPTION
Number of Pages XX, 812 p. 574 illus., 560 illus. in color.
490 1# - SERIES STATEMENT
Series statement Texts in Computer Science,
505 0# - FORMATTED CONTENTS NOTE
Remark 2 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.
520 ## - SUMMARY, ETC.
Summary, etc 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: Structured to support active curricula and project-oriented courses, with tips in the Introduction for using the book in a variety of customized courses Presents exercises at the end of each chapter with a heavy emphasis on testing algorithms and containing numerous suggestions for small mid-term projects Provides additional material and more detailed mathematical topics in the Appendices, which cover linear algebra, numerical techniques, and Bayesian estimation theory Suggests additional reading at the end of each chapter, including the latest research in each sub-field, in addition to a full Bibliography at the end of the book Supplies supplementary course material for students at the associated website, http://szeliski.org/Book/ 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. Dr. Richard Szeliski has more than 25 years’ experience in computer vision research, most notably at Digital Equipment Corporation and Microsoft Research. This text draws on that experience, as well as on computer vision courses he has taught at the University of Washington and Stanford.
856 40 - ELECTRONIC LOCATION AND ACCESS
Uniform Resource Identifier https://doi.org/10.1007/978-1-84882-935-0
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Koha item type eBooks
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-- London :
-- Springer London :
-- Imprint: Springer,
-- 2011.
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-- computer
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-- rdamedia
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-- online resource
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-- text file
-- PDF
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650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Computer vision.
650 14 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Computer Vision.
830 #0 - SERIES ADDED ENTRY--UNIFORM TITLE
-- 1868-095X
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