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36412489
Computer Vision: Algorithms and Applications (Texts in Computer Science)
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Item #:
36412489
€ 82
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Computer Vision: Algorithms and Applications is an exceptionally authoritative and comprehensive textbook/reference that takes a scientific approach to the formulation of computer vision problems and the latest classical and deep learning models.
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What Stands Out
Comprehensive Coverage
This edition presents a detailed exploration of computer vision algorithms and applications, catering to both beginners and seasoned professionals seeking to enhance their knowledge in cutting-edge technology.
Updated Content
Incorporating the latest advancements in the field, the second edition provides contemporary examples and practical applications, ensuring that readers stay informed about current trends and innovations in computer vision.
Accessible Learning
With clear explanations and structured chapters, this textbook effectively simplifies complex concepts, making it an invaluable resource for students and researchers alike, enhancing their understanding and practical skills in computer vision.
Product Details
- Explores techniques used to analyze and interpret images, with real-world applications and a scientific approach to problem formulation
- Incorporates new material on deep learning and applications like mobile computational photography, autonomous navigation, and augmented reality
- Features exercises at the end of each chapter with emphasis on testing algorithms and suggestions for projects
- Includes 1,500 new citations and 200 new figures covering developments from the last decade
- Provides additional material and detailed mathematical topics in the Appendices, covering linear algebra, numerical techniques, estimation theory, datasets, and software
- Suitable for upper-level undergraduate or graduate-level courses in computer science or engineering, focusing on basic techniques that work under real-world conditions and current research literature
| Publisher | Springer |
| Publication date | January 5, 2022 |
| Edition | Second Edition 2022 |
| Language | English |
| Print length | 947 pages |
| ISBN-10 | 3030343715 |
| ISBN-13 | 978-3030343712 |
| Item Weight | 7.6 ounces (215.46 grams) |
| Dimensions | 8.56 x 1.67 x 11.1 inches (21.7 x 4.2 x 28.2 cm) |
| Part of series | Texts in Computer Science |
Who Should Buy?
-
Computer Science Students
Ideal for those studying computer science, particularly in areas focusing on artificial intelligence and image processing.
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Industry Professionals
Beneficial for engineers and developers working in computer vision, providing algorithms and real-world applications.
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Researchers
Supports academic researchers looking for in-depth knowledge and contemporary developments in computer vision techniques.
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Beginners
Not suitable for those with no prior knowledge of computer vision or related programming skills.
Product Description
About This Item
Introducing the "Computer Vision: Algorithms and Applications" Texts in Computer Science 2nd ed. 2022 Edition. Unlock the power of computer vision and delve into the exciting realm of algorithms and applications with this comprehensive textbook. Designed for students and professionals alike, this updated edition is packed with cutting-edge information and practical examples to enhance your understanding of computer vision. With the rapid advancement of technology, computer vision has become increasingly relevant in various industries.
From autonomous vehicles to facial recognition systems, computer vision plays a crucial role in enabling machines to perceive and understand the visual world. This textbook covers a wide range of topics, including image formation, image filtering, feature detection and matching, segmentation, tracking, and more. It provides a solid foundation in the fundamental principles and techniques used in computer vision, allowing you to apply them to real-world scenarios. Whether you're a beginner or an experienced practitioner, this book is designed to cater to your needs. The clear and concise explanations, along with numerous illustrative figures, make complex concepts easier to grasp.
Additionally, the practical examples and exercises provided throughout the book will help you reinforce your knowledge and develop your skills. By studying "Computer Vision: Algorithms and Applications," you will gain insights into the latest advancements in this dynamic field. You'll learn how to design and implement computer vision algorithms, analyze visual data, and make informed decisions based on the extracted information. This edition also includes updated content to reflect the most current trends and technologies in computer vision. Stay up-to-date with the latest research and industry practices, ensuring you're equipped with the knowledge and skills needed to excel in this exciting field. With "Computer Vision: Algorithms and Applications" as your guide, you'll be well-prepared to tackle the challenges and opportunities that lie ahead in the world of computer vision.
Take the next step in your career or academic journey and add this essential resource to your library today.
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Product Buying Guide
Computer Vision: Algorithms and Applications (Texts in Computer Science) 2nd ed. 2022 Edition is a comprehensive textbook that delves into the techniques and applications of computer vision, providing a scientific approach to problem formulation and analysis. It is designed to support active curricula and project-oriented courses, making it ideal for upper-level undergraduate or graduate-level computer science or engineering students.
Product Specifications
- Author: Richard Szeliski
- Publication Date: 2nd ed. 2022 Edition
- Format: Hardcover
- Pages: 963
- Publisher: Springer
- Language: English
Key Features
- Incorporates new material on deep learning and applications such as mobile computational photography, autonomous navigation, and augmented reality
- Provides exercises at the end of each chapter with a focus on testing algorithms and suggestions for small mid-term projects
- Includes 1,500 new citations and 200 new figures covering developments from the last decade
- Contains additional material and detailed mathematical topics in the Appendices, covering linear algebra, numerical techniques, estimation theory, datasets, and software
Usage Scenarios
- Ideal for upper-level undergraduate or graduate-level courses in computer science or engineering
- Suitable for individuals interested in gaining a profound understanding of computer vision techniques and their real-world applications
- Enables students to engage in hands-on projects and exercises, fostering a deeper comprehension of the subject matter
Usage Scenarios
This book competes with similar publications by well-known authors and publishers in the field of computer vision and algorithms.
Some User Review
- Students and professionals appreciated the in-depth coverage of computer vision techniques and the inclusion of new materials on deep learning and applications.
- Readers found the exercises at the end of each chapter to be particularly helpful in reinforcing their understanding of algorithms.
- The comprehensive nature of the book, including additional material in the Appendices, was well-received by users.
Competitors
The pricing of this textbook is relatively competitive compared to similar publications in the market, offering good value for the depth and breadth of coverage it provides.
Buying Considerations
- Consider the relevance of the additional material and new content on deep learning and applications, especially if these are areas of particular interest or relevance to your studies or work.
- Assess the value of the exercises and project suggestions at the end of each chapter for your learning or teaching objectives.
Conclusion
Computer Vision: Algorithms and Applications (Texts in Computer Science) 2nd ed. 2022 Edition is a valuable resource for students and professionals seeking comprehensive knowledge of computer vision techniques and real-world applications. With its updated content, exercises, and extensive coverage, it stands as an essential reference in the field of computer vision.
View LessComputer Vision: Algorithms and Applications (Texts in Computer Science) 2nd ed. 2022 Edition is a comprehensive textbook that delves into the techniques and applications of computer vision, providing a scientific approach to problem formulation and analysis. It is designed to support active curricula and project-oriented courses, making it ideal for upper-level undergraduate or graduate-level computer science or engineering students. Continue Reading
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Features & Benefits
- Describes the techniques used to analyze and interpret images
- Explores challenging real-world applications of computer vision
- Incorporates new material on deep learning and applications such as mobile computational photography, autonomous navigation, and augmented reality
- Suitable for upper-level undergraduate or graduate-level courses in computer science or engineering
- Provides additional material and detailed mathematical topics in the Appendices
- Emphasis on testing algorithms and containing suggestions for small mid-term projects
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