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Computer Vision: Algorithms and Applications by Richard Szeliski, 9783030343712
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Ubicado en: Cambridge, Massachusetts, Estados Unidos
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Entrega prevista entre el lun. 27 oct. y el jue. 30 oct. a 94104
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N.º de artículo de eBay:276884039914
Última actualización el 17 sep 2025 00:58:52 H.EspVer todas las actualizacionesVer todas las actualizaciones
Características del artículo
- Estado
- Pages
- 925
- Publication Date
- 2022-01-05
- Book Title
- Computer Vision: Algorithms and Applications
- Edition Number
- 2
- ISBN
- 9783030343712
Acerca de este producto
Product Identifiers
Publisher
Springer International Publishing A&G
ISBN-10
3030343715
ISBN-13
9783030343712
eBay Product ID (ePID)
4038406126
Product Key Features
Number of Pages
Xxii, 925 Pages
Publication Name
Computer Vision : Algorithms and Applications
Language
English
Subject
Engineering (General), Image Processing, Probability & Statistics / General, Computer Vision & Pattern Recognition
Publication Year
2022
Type
Textbook
Subject Area
Mathematics, Computers, Technology & Engineering
Series
Texts in Computer Science Ser.
Format
Hardcover
Dimensions
Item Weight
99.2 Oz
Item Length
11 in
Item Width
8.3 in
Additional Product Features
Edition Number
2
Dewey Edition
22
Number of Volumes
1 vol.
Illustrated
Yes
Dewey Decimal
006.37
Table Of Content
1 Introduction.- 2 Image Formation.- 3 Image Processing.- 4 Model Fitting and Optimization.- 5 Deep Learning.- 6 Recognition.- 7 Feature Detection and Matching.- 8 Image Alignment and Stitching.- 9 Motion Estimation.- 10 Computational Photography.- 11 Structure from Motion and SLAM.- 12 Depth Estimation.- 13 3D Reconstruction.- 14 Image-Based Rendering.- 15 Conclusion.- Appendix A: Linear Algebra and Numerical Techniques.- Appendix B: Bayesian Modeling and Inference.- Appendix C: Supplementary Material.
Synopsis
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., Computer Vision: Algorithms and Applications explores the variety of techniques used to analyze and interpret images. It also describes challenging real-world applications where vision is being successfully used, both in specialized applications such as image search and autonomous navigation, as well as for fun, consumer-level tasks that students can apply to their own personal photos and videos. More than just a source of "recipes," this exceptionally authoritative and comprehensive textbook/reference takes a scientific approach to the formulation of computer vision problems. These problems are then analyzed using the latest classical and deep learning models and solved using rigorous engineering principles. 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 Incorporates totally new material on deep learning and applications such as mobile computational photography, autonomous navigation, and augmented reality Presents exercises at the end of each chapter with a heavy emphasis on testing algorithms and containing numerous suggestions for small mid-term projects Includes 1,500 new citations and 200 new figures that cover the tremendous developments from the last decade Provides additional material and more detailed mathematical topics in the Appendices, which cover linear algebra, numerical techniques, estimation theory, datasets, and software 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., 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.
LC Classification Number
TA1634
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- e***e (6)- Votos emitidos por el comprador.Últimos 6 mesesCompra verificadaItem as described, packing, and shipping was great, and a good value. I highly recommended this seller
- y***e (265)- Votos emitidos por el comprador.Mes pasadoCompra verificadaSuper fast shipping. The custom packaging was superb. Better than described and for the price I got one hell of a steal!
- a***l (826)- Votos emitidos por el comprador.Mes pasadoCompra verificadaExactly as described. Fast shipping. Excellent packaging. Great value. Easy transaction. A+++