What are the key topics covered in Computer Vision: Algorithms and Applications?

The 'Computer Vision: Algorithms and Applications' textbook delves into critical areas such as image processing, machine learning techniques, and real-time object detection. It discusses algorithms that form the cornerstone of computer vision applications, including feature extraction, image segmentation, and motion analysis. This broad spectrum of topics makes it well-suited for both academic study and practical application, helping students and practitioners implement vision systems in various fields like robotics, healthcare, and security.

Who is the target audience for this textbook?

This textbook is primarily aimed at students, researchers, and professionals in computer science and engineering fields that deal with computer vision. It serves well for undergraduate and graduate courses, offering foundational knowledge as well as advanced techniques. Professionals looking to enhance their skills in image processing or algorithm design will also find the insights valuable, as the content bridges theoretical concepts with real-world applications.

How does this edition differ from previous ones?

The second edition of 'Computer Vision: Algorithms and Applications' includes updated content reflecting the latest advancements in technology and methodologies in the field. It features revised chapters, additional case studies, and new algorithms that have emerged since the first edition. This ensures readers are learning about contemporary best practices and are equipped with the most relevant information and techniques essential for modern computer vision projects.

What practical applications can I expect to learn about?

Readers can expect to learn about various practical applications of computer vision, such as facial recognition, autonomous vehicle navigation, and augmented reality. The book provides numerous case studies that illustrate how these algorithms are implemented in real-world scenarios. This knowledge is essential for those looking to enter industries like robotics, advertising, and healthcare, where computer vision technologies are rapidly advancing.

Is prior knowledge of programming required to understand the concepts in this book?

While some familiarity with programming, particularly in languages like Python or MATLAB, can enhance your understanding, it is not strictly necessary to grasp the concepts presented. The book balances theoretical explanations with practical examples, making it accessible to both programming novices and experienced developers. This inclusive approach ensures that readers can focus on the principles of computer vision without getting lost in coding intricacies.

Will I find exercises or problems to solve in the book?

Yes, the textbook includes a variety of exercises and problems at the end of each chapter. These are designed to reinforce the concepts discussed and allow readers to apply what they've learned in practical ways. Engaging with these exercises can significantly enhance comprehension and improve problem-solving skills in real-world computer vision tasks, making the learning experience both comprehensive and interactive.

Can this book be used for self-study?

Absolutely! 'Computer Vision: Algorithms and Applications' is structured to facilitate self-study. The clear explanations, diagrams, and illustrative examples throughout the book provide a solid foundation for learners. Additionally, each chapter builds on previous knowledge, allowing readers to progressively advance their understanding. This makes the book a perfect resource for anyone looking to delve into computer vision independently.

What academic disciplines benefit from this book?

Primarily, fields such as computer science, software engineering, and data science benefit significantly from this textbook. It is also valuable for interdisciplinary studies involving robotics, artificial intelligence, and image processing. These disciplines can leverage the algorithms and applications detailed in the book to develop innovative solutions and technologies that rely on visual data interpretation.

How can I stay updated on advancements in computer vision after reading this book?

To stay updated, consider following relevant academic journals, joining professional groups in computer science and computer vision, and participating in online forums. Engaging with ongoing research and advancements through conferences or webinars also contributes to continuous learning. Additionally, blogs and newsletters from leading tech companies can provide insights into emerging tools and practices effective in the evolving landscape of computer vision.

Where can I buy Computer Vision: Algorithms and Applications in Brazil?

You can purchase 'Computer Vision: Algorithms and Applications' from Ubuy in Brazil. Ubuy offers a diverse range of books and resources to support your learning in computer vision, ensuring you have access to the latest and most relevant materials to enhance your studies and applications in this critical field.

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

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.

Número do item: 36412489

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

86% of respondents would recommend this to a friend

Número do item: 36412489

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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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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.

Detalhes do produto

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

Para quem é indicado?

Computer Science Students
Ideal for those studying computer science, particularly in areas focusing on artificial intelligence and image processing.
Industry Professionals
Beneficial for engineers and developers working in computer vision, providing algorithms and real-world applications.
Researchers
Supports academic researchers looking for in-depth knowledge and contemporary developments in computer vision techniques.

Beginners
Not suitable for those with no prior knowledge of computer vision or related programming skills.

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

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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Pergunta: Computer Vision: Algorithms and Applications (Texts está disponível para compras online em Brazil?

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Intelligence & Semantics Editorial Review

Szeliski's book is an essential addition to the library of any computer vision practitioner. However, it is not suitable for those who are just starting as it functions more as a "survey paper" that covers all facets of the field. It glosses over much of the math and refers to other papers and texts for fundamental algorithms. That said, it has a valuable appendix section that references numerous software packages and sample data sets. The printing quality of the book is poor, and often the text from the next two pages shines through.

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Essential addition for computer vision practitioners
Covers all aspects of Computer vision
Valuable appendix section with references to software packages and data sets

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Not suitable for beginners as it glosses over much of the math

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Características e benefícios

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

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About This Item

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