What is the main focus of Computer Vision: Algorithms and Applications 2011th Edition?

The main focus of 'Computer Vision: Algorithms and Applications' is to provide a comprehensive understanding of the principles and techniques fundamental to the field of computer vision. It covers a variety of algorithms, methodologies, and applications that are essential for processing and understanding visual data. The book is designed for both beginners and advanced practitioners, offering insights into real-world applications like autonomous vehicles, facial recognition, and image processing. By studying this text, readers can gain valuable knowledge applicable in fields ranging from robotics to machine learning.

Who is the intended audience for this book?

This book is primarily intended for students, researchers, and professionals in computer science and engineering who are looking to deepen their understanding of computer vision concepts. It is suitable for undergraduate and graduate students due to its structured approach, as well as for practitioners who seek to apply these algorithms in industrial settings. Whether you are new to the subject or have some experience, this book provides the foundational knowledge and advanced topics required for practical applications.

What types of algorithms are covered in this edition?

The 2011th edition covers a variety of algorithms used in computer vision, including image processing techniques, feature extraction methods, segmentation algorithms, and object recognition approaches. It also discusses advanced topics like 3D reconstruction and machine learning applications. Each algorithm is presented with theoretical explanations followed by practical examples, enabling readers to understand both the theoretical underpinnings and their applications in real-world scenarios, such as in video surveillance and augmented reality.

How does this book differ from other computer vision texts?

This book stands out due to its practical focus on algorithms and applications, combining theoretical insights with real-world examples. Unlike many academic texts that may be overly theoretical, 'Computer Vision: Algorithms and Applications' emphasizes practical implementations, guiding readers in applying algorithms to solve real problems. It includes detailed case studies, making complex topics more accessible and relatable for readers looking to implement computer vision technologies in their projects.

Are there practical exercises or examples provided in this book?

Yes, the book is rich in practical exercises and examples that illustrate the application of computer vision algorithms. Each chapter typically concludes with problem sets that encourage readers to implement what they have learned. These exercises help reinforce the concepts and provide hands-on experience, which is crucial for mastering the material. For example, readers can practice image classification or object detection tasks using sample datasets, enhancing their understanding of how these algorithms work in practice.

What background knowledge is recommended before reading this book?

While the book is designed to accommodate varying levels of expertise, a basic understanding of linear algebra, calculus, and programming is recommended. Familiarity with programming languages such as Python or C++ can be highly beneficial, as examples and exercises often involve coding implementations. For readers new to the field, it may also be helpful to have some exposure to introductory courses in computer science or engineering, as this will provide the necessary foundation to grasp more complex concepts discussed in the book.

What are the key applications of the algorithms discussed?

The algorithms discussed in 'Computer Vision: Algorithms and Applications' have a wide range of applications across various domains. Key uses include facial recognition in security systems, autonomous navigation for self-driving cars, image and video analysis for surveillance, medical imaging for health diagnostics, and augmented reality for gaming and educational tools. By understanding these algorithms, professionals can create solutions that significantly enhance the functionality and efficiency of modern technology.

Is the 2011 edition of the book still relevant?

Yes, the 2011 edition remains relevant, as many foundational algorithms and concepts in computer vision have not changed significantly. While newer editions may include recent advancements, the core principles and techniques discussed in this edition continue to be applicable in ongoing research and development. For learners and professionals, mastering these fundamental concepts is essential for understanding the evolution of the field and adapting to new technologies as they emerge.

Can I rely on this book for both theoretical understanding and practical implementation?

Absolutely! This book is structured to provide both theoretical understanding and practical implementation strategies. It balances theoretical discussions, algorithmic principles, and practical coding examples to give readers a comprehensive view of computer vision. This dual focus equips readers with the knowledge necessary to not only understand complex algorithms but also implement them in real applications, making it an ideal resource for learning and professional development.

Where can I buy Computer Vision: Algorithms and Applications 2011th Edition in Portugal?

You can buy 'Computer Vision: Algorithms and Applications 2011th Edition' from Ubuy in Portugal. Ubuy offers a wide selection of books, including academic titles, with convenient shipping options and great customer service. By purchasing from Ubuy, you can ensure a smooth shopping experience, receive genuine products, and have access to customer support if needed. It's a reliable platform for acquiring this essential computer vision text.

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

Computer Vision: Algorithms and Applications is a unique reference to the fundamental techniques and current research in computer vision.

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

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Computer Vision: Algorithms and Applications is a unique reference to the fundamental techniques and current research in computer vision.

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O que se Destaca

Comprehensive Coverage

This text covers a wide range of computer vision algorithms and their practical applications, ensuring a thorough understanding for readers interested in both theory and real-world deployment.

Educational Resource

Designed for students and professionals, this book serves as an essential educational resource, integrating academic insights with practical case studies to enhance learning and application skills in computer vision.

Authoritative Expertise

Written by renowned authors in the field, this edition provides authoritative insights and methodologies, making it a trusted source for both beginners and advanced practitioners looking to deepen their expertise.

Detalhes do produto

Explores various techniques for analyzing and interpreting images
Covers real-world applications of computer vision, including medical imaging and consumer-level tasks
Adopts a scientific approach to basic vision problems, using physical and statistical models
Includes exercises with an emphasis on testing algorithms and suggestions for projects
Provides additional material in the Appendices covering mathematical topics and offers supplementary course material on the associated website
Suitable for upper-level undergraduate or graduate-level courses in computer science or engineering

Publisher	Springer-Nature New York Inc
Publication date	October 19, 2010
Edition	1st
Language	English
Print length	812 pages
ISBN-10	1848829345
ISBN-13	978-1848829343
Item Weight	5.4 pounds (2.45 kg)
Dimensions	8.9 x 1.5 x 11.3 inches (22.6 x 3.8 x 28.7 cm)

Quem Deverá Comprar?

Computer Vision Students
Ideal for university students studying computer vision and seeking a comprehensive academic resource for algorithms and applications.
Research Professionals
Suitable for researchers and professionals developing cutting-edge computer vision technologies needing in-depth theoretical and practical insights.
Software Developers
Good for software developers looking to implement computer vision algorithms in real-world applications across various industries.

Beginners in Programming
Not ideal for those with no programming background; it assumes familiarity with programming concepts and algorithms.

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AI & Machine Learning Editorial Review

Computer Vision: Algorithms and Applications is a technical book that serves as an excellent resource for those working in the field. The book takes a storytelling approach to explain difficult concepts, making it easy to understand even for beginners. The book focuses on various pre-deep learning techniques and covers important topics such as projective geometry and photogrammetry. The inability to find any pseudo-code or real code in the book is the only downside mentioned. Overall, the book is a great educational resource for those pursuing a degree in machine learning and computer vision or working in the field.

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Storytelling approach, making complex concepts easy to understand.
Excellent resource for those working in the field of computer vision.
Covers a wide range of topics including projective geometry and photogrammetry.

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Lack of pseudo-code or real code in the book.

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Explains techniques used to analyze images
Describes real-world applications
Takes a scientific approach using physical and statistical models
Includes exercises and project suggestions
Suitable for upper-level courses in computer science or engineering
Emphasizes techniques that work in real-world conditions

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