Computer Vision: Algorithms and Applications: Texts in Computer Science
Autor Richard Szeliskien Limba Engleză Hardback – 19 oct 2010
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.
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Specificații
ISBN-13: 9781848829343
ISBN-10: 1848829345
Pagini: 833
Ilustrații: 600 farbige Abbildungen
Dimensiuni: 210 x 279 x 35 mm
Greutate: 2.45 kg
Ediția:2011
Editura: SPRINGER LONDON
Colecția Springer
Seria Texts in Computer Science
Locul publicării:London, United Kingdom
ISBN-10: 1848829345
Pagini: 833
Ilustrații: 600 farbige Abbildungen
Dimensiuni: 210 x 279 x 35 mm
Greutate: 2.45 kg
Ediția:2011
Editura: SPRINGER LONDON
Colecția Springer
Seria Texts in Computer Science
Locul publicării:London, United Kingdom
Public țintă
GraduateDescriere
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 Applicationsexplores 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:
Computer Vision: Algorithms and Applicationsexplores 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/
Cuprins
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.
Recenzii
From
the
reviews:
“This large work by Szeliski (Microsoft Research), an experienced computer vision researcher and instructor, contains hundreds of glossy color photos that illustrate the variety of techniques used to analyze and interpret images. … It is suitable for teaching a senior-level undergraduate course in computer vision or graduate courses covering the more demanding material. Its primary use will be as a general reference to the fundamental techniques and recent research literature for graduate students, faculty/researchers, and professionals. Summing Up: Recommended. Upper-division undergraduates and above.” (C. Tappert, Choice, Vol. 48 (9), May, 2011)
“The aim of this book is to provide a course in computer vision for undergraduate students in computer science or electrical engineering. … The focus is on algorithms and applications. … The mathematics covered is nicely presented … . Each chapter contains exercises and references to additional reading. … The book also contains many references to resources on the Internet.” (Lisbeth Fajstrup, Zentralblatt MATH, Vol. 1219, 2011)
“The main interests of Richard Szeliski’s book is to give a … up-to-date overview of the state of the art. … a valuable resource for teaching computer vision at either the undergraduate or graduate level. … an interesting read for any student or engineer who wants a broad introduction to the field of computer vision. … From a teaching point of view, the book is a valuable resource, offering an extended list of exercises, project proposals, and appealing applications of computer vision techniques.” (Sebastien Lefevre, ACM Computing Reviews, July, 2011)
“This large work by Szeliski (Microsoft Research), an experienced computer vision researcher and instructor, contains hundreds of glossy color photos that illustrate the variety of techniques used to analyze and interpret images. … It is suitable for teaching a senior-level undergraduate course in computer vision or graduate courses covering the more demanding material. Its primary use will be as a general reference to the fundamental techniques and recent research literature for graduate students, faculty/researchers, and professionals. Summing Up: Recommended. Upper-division undergraduates and above.” (C. Tappert, Choice, Vol. 48 (9), May, 2011)
“The aim of this book is to provide a course in computer vision for undergraduate students in computer science or electrical engineering. … The focus is on algorithms and applications. … The mathematics covered is nicely presented … . Each chapter contains exercises and references to additional reading. … The book also contains many references to resources on the Internet.” (Lisbeth Fajstrup, Zentralblatt MATH, Vol. 1219, 2011)
“The main interests of Richard Szeliski’s book is to give a … up-to-date overview of the state of the art. … a valuable resource for teaching computer vision at either the undergraduate or graduate level. … an interesting read for any student or engineer who wants a broad introduction to the field of computer vision. … From a teaching point of view, the book is a valuable resource, offering an extended list of exercises, project proposals, and appealing applications of computer vision techniques.” (Sebastien Lefevre, ACM Computing Reviews, July, 2011)
Notă biografică
Dr.
Richard
Szeliskihas
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.
Textul de pe ultima copertă
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 Applicationsexplores 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:
Dr. Richard Szeliskihas 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.
Computer Vision: Algorithms and Applicationsexplores 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/
Dr. Richard Szeliskihas 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.
Caracteristici
First
fully
comprehensive
computer
vision
textbook
Structured to support active curricula and project-oriented courses
Presents exercises and additional reading at the end of each chapter
Supplies supplementary course material for students at an associated website
Structured to support active curricula and project-oriented courses
Presents exercises and additional reading at the end of each chapter
Supplies supplementary course material for students at an associated website