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Computer Vision: Algorithms and Applications (Texts in Computer Science)
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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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- 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?
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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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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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