20 best books on computer vision – 2023 reading list & recommendations

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Computer Vision: Algorithms and Applications

by Richard Szeliski

Computer Vision: Algorithms and Applications by Richard Szeliski is a remarkable book on the fascinating field of visual perception. Whether you are a student, researcher, or just someone curious about the wonders of computer vision, this book is a fantastic resource for understanding the algorithms and applications that make it all possible.

Inside the pages of this book, you will find a treasure trove of knowledge about the vast world of computer vision. Szeliski takes you on a captivating journey through the various techniques and methodologies used to extract information from images and videos. From image filtering and feature detection to object recognition and 3D reconstruction, every aspect of computer vision is covered in depth.

What sets this book apart is its comprehensive approach and practical focus. Szeliski not only explains the underlying mathematics and theory behind each algorithm, but he also provides real-world examples and applications to illustrate their significance. This makes it easy to grasp the concepts and envision how they can be applied to solve real-life problems.

Whether you are interested in medical imaging, robotics, autonomous vehicles, or simply want to understand how facial recognition works, this book is an essential companion. Its clarity, depth, and practicality make it the go-to resource for anyone seeking to explore the captivating world of computer vision. So dive in and unlock the secrets of visual perception with this remarkable computer vision book!

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Deep Learning for Computer Vision with Python

by Adrian Rosebrock

Deep Learning for Computer Vision with Python by Adrian Rosebrock is an incredibly insightful and practical book on computer vision. This book delves into the fascinating world of computer vision, exploring the intersection of artificial intelligence and image processing.

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Learning OpenCV 4 Computer Vision with Python 3

by Joseph Howse

Learning OpenCV 4 Computer Vision with Python 3 by Joseph Howse is an incredible book on computer vision that will take you on an exciting journey into the world of image processing and analysis. If you are an aspiring computer vision enthusiast or a seasoned professional looking to expand your knowledge, this book is a must-read.

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Computer Vision: Models, Learning, and Inference

by Simon J.D. Prince

Computer Vision: Models, Learning, and Inference by Simon J.D. Prince is a fascinating journey into the realm of visual perception. Considered a definitive book on computer vision, it provides a comprehensive understanding of how machines can interpret and understand images and videos.

This compelling book about computer vision delves into the intricacies of image recognition and analysis, teaching readers how to extract meaningful information from visual data. With a perfect blend of theory and practical examples, Prince explores various computer vision algorithms, machine learning techniques, and probabilistic models that enable computers to “see” and interpret the world in a human-like manner.

Whether you are a student, researcher, or industry professional, this computer vision book is a valuable resource for understanding the underlying principles of this rapidly advancing field. It covers a wide range of topics, including image formation, feature detection, object recognition, 3D reconstruction, and visual tracking.

By immersing yourself in Prince’s captivating narrative, you will gain a deep understanding of how computer vision algorithms work and how they can be applied to solve real-world problems. The book’s engaging style and clear explanations make it accessible to both beginners and experts in the field.

So, if you are eager to explore the captivating world of computer vision, this book is your ultimate guide. Get ready to embark on a thrilling journey of discovery and unlock the secrets behind the algorithms that enable machines to “see” the world around us.

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Practical Python and OpenCV

by Adrian Rosebrock

Practical Python and OpenCV by Adrian Rosebrock is the ultimate guide for anyone looking to dive into the fascinating world of computer vision. This book is a treasure trove of knowledge, packed with practical examples and step-by-step tutorials that will turn you into a computer vision wizard. Whether you’re a beginner or an experienced programmer, this book will take you on a journey through the exciting realm of image processing, object detection, and machine learning.

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Computer Vision: A Modern Approach

by David A. Forsyth and Jean Ponce

Computer Vision: A Modern Approach is an extraordinary book on the fascinating world of visual perception and artificial intelligence. This comprehensive and engaging book explores the field of computer vision, which deals with the science and technology of machines that can understand and interpret visual information.

Written by David A. Forsyth and Jean Ponce, this book is a must-have for anyone interested in the exciting world of computer vision. It covers a wide range of topics, including image formation, image filtering and enhancement, image segmentation, object recognition, 3D vision, and motion analysis.

What sets this book apart is its modern approach. It not only provides a thorough introduction to the fundamental concepts and techniques of computer vision but also delves into the latest advancements in the field. The authors present cutting-edge research and state-of-the-art algorithms, making it an invaluable resource for both beginners and experts.

Throughout the book, the authors use clear and concise language, making complex topics accessible to readers of all backgrounds. They also include numerous examples, illustrations, and exercises to reinforce the concepts and help readers develop practical skills in computer vision.

Whether you are a student, researcher, or industry professional, this book about computer vision will undoubtedly broaden your understanding of visual perception and inspire you to push the boundaries of artificial intelligence. So dive into the captivating world of computer vision and uncover the secrets behind how machines can see and interpret the world around them.

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OpenCV 3 Computer Vision with Python Cookbook

by Alexey Spizhevoy and Aleksandr Rybnikov

OpenCV 3 Computer Vision with Python Cookbook by Alexey Spizhevoy and Aleksandr Rybnikov is a fascinating book on computer vision that will take you on an exciting journey into the world of image processing and analysis. Whether you are a beginner or an experienced programmer, this book about computer vision will equip you with the knowledge and skills needed to tackle real-world computer vision problems.

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Mastering OpenCV 4 with Python

by Alberto Fernandez Villan

Are you ready to dive into the fascinating world of computer vision? Look no further than “Mastering OpenCV 4 with Python” by Alberto Fernandez Villan. This groundbreaking book on computer vision is a comprehensive guide that will take your understanding of this field to new heights. Whether you’re a beginner or an experienced developer, this book about computer vision has something for everyone.

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Computer Vision: Principles, Algorithms, Applications, Learning

by E. R. Davies

If you’re looking for a comprehensive book on computer vision that covers all the essential principles, algorithms, applications, and even delves into the fascinating world of machine learning, then look no further than Computer Vision: Principles, Algorithms, Applications, Learning by E. R. Davies.

This highly regarded book about computer vision is a treasure trove of knowledge for both beginners and experts in the field. It provides a thorough foundation in the fundamental concepts of computer vision, including image formation, image processing, and feature detection.

But what sets this computer vision book apart is its emphasis on practical applications. Davies delves into a wide range of real-world scenarios where computer vision plays a vital role, such as object recognition, tracking, and even face recognition.

Moreover, the book doesn’t stop at traditional algorithms. It explores the exciting field of machine learning, showing how it can be applied to computer vision tasks. From neural networks to deep learning, Davies guides readers through the latest advancements in the industry.

Whether you’re an aspiring computer vision engineer or a seasoned professional, this book on computer vision will equip you with the necessary tools and insights to tackle the most challenging problems in the field. So grab a copy and dive into the captivating world of computer vision!

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OpenCV 4 Computer Vision Application Programming Cookbook

by Robert Laganière

OpenCV 4 is a powerful library for computer vision, and if you’re looking to dive into the world of computer vision, then Robert Laganière’s book on computer vision is a must-read. This comprehensive guide is packed with practical examples and step-by-step instructions that will help you master the art of computer vision.

In this book about computer vision, Laganière takes you on a journey from the basics to advanced topics, covering everything from image manipulation and feature extraction to object detection and tracking. With his clear and concise explanations, you’ll quickly grasp the concepts and techniques needed to build your own computer vision applications.

Whether you’re a beginner or an experienced programmer, this computer vision book has something for everyone. The author’s expertise shines through in his explanations, making complex topics accessible to readers of all levels. Each chapter is filled with hands-on exercises and real-world examples, allowing you to apply what you’ve learned and gain practical experience in computer vision.

So, if you’re ready to unlock the full potential of computer vision, grab a copy of OpenCV 4 Computer Vision Application Programming Cookbook by Robert Laganière. This is more than just a book on computer vision – it’s your ultimate guide to understanding and implementing computer vision techniques in your own projects.

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Computer Vision: A Reference Guide

by Katsushi Ikeuchi

Computer Vision: A Reference Guide by Katsushi Ikeuchi is a remarkable book on the captivating field of visual perception. Whether you are an aspiring computer vision enthusiast or a seasoned expert, this comprehensive guide is a treasure trove of knowledge that will leave you mesmerized.

Step into the world of visual intelligence as Ikeuchi takes you on a journey through the intricacies of understanding and interpreting images. This book about computer vision delves into the depths of image processing, pattern recognition, and machine learning, providing a solid foundation for anyone seeking to explore this rapidly evolving field.

With its lucid explanations and insightful examples, this computer vision book unravels the mysteries behind algorithms that allow computers to see and understand the visual world. From image segmentation to object recognition, Ikeuchi’s expertise shines through as he presents cutting-edge techniques and their practical applications.

Through the pages of this reference guide, you will discover the fascinating ways in which computer vision intersects with various disciplines such as robotics, augmented reality, and medical imaging. Ikeuchi’s passion for the subject is palpable, making the journey of learning a truly engaging experience.

So, whether you are a researcher seeking to expand your knowledge or an enthusiast eager to delve into the world of visual perception, Computer Vision: A Reference Guide is the perfect companion. Let this book be your guiding light as you navigate through the captivating realm of computer vision.

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OpenCV 4 with Python Blueprints

by Michael Beyeler

OpenCV 4 with Python Blueprints by Michael Beyeler is a fascinating book on computer vision that takes readers on an exciting journey into the world of visual perception. With the power of Python and OpenCV, this book provides a comprehensive guide to understanding and implementing computer vision algorithms.

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Computer Vision: Theory and Industrial Applications

by Joseph L. Mundy and Andrew Zisserman

Computer Vision: Theory and Industrial Applications is an exceptional book on the fascinating field of computer vision. Whether you are a novice or an expert in the subject, this comprehensive guide will take you on an incredible journey through the world of visual perception and image processing.

Written by renowned experts Joseph L. Mundy and Andrew Zisserman, this book about computer vision is a treasure trove of knowledge, offering a perfect blend of theory and practical applications. The authors delve deep into the core concepts of computer vision, providing a solid foundation for understanding complex algorithms and techniques.

From image formation and feature extraction to object recognition and scene understanding, every aspect of computer vision is explained with clarity and precision. The authors also discuss the latest advancements in the field, such as deep learning and convolutional neural networks, which have revolutionized image analysis.

What sets this computer vision book apart is its emphasis on industrial applications. Mundy and Zisserman provide real-world examples and case studies, demonstrating how computer vision is used in various industries, including robotics, medical imaging, surveillance, and autonomous vehicles.

Whether you are interested in the theoretical foundations of computer vision or want to explore its practical applications, this book will equip you with the necessary knowledge and skills. So, grab a copy of Computer Vision: Theory and Industrial Applications and embark on a captivating journey into the world of visual perception.

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OpenCV 4 Computer Vision Projects with Python

by Joseph Howse and Prateek Joshi

OpenCV 4 Computer Vision Projects with Python is a fascinating book that delves into the world of computer vision, exploring the incredible possibilities that lie within this cutting-edge field. Whether you are a seasoned expert or a curious beginner, this book will guide you through a series of exciting projects that will enhance your understanding and skills in computer vision.

This book is not just another run-of-the-mill computer vision book; it is a captivating journey that takes you through various real-world projects, showcasing the practical applications of computer vision. With each project, you will gain hands-on experience and learn valuable techniques that you can apply to your own projects.

The authors, Joseph Howse and Prateek Joshi, are renowned experts in the field of computer vision, and their expertise shines through in this book. They provide clear explanations and step-by-step instructions, making complex concepts easily understandable.

One of the highlights of this book is its emphasis on using Python as the programming language. Python is widely regarded as one of the most accessible and versatile languages for computer vision, making it the perfect choice for both beginners and experts alike.

From building an augmented reality application to detecting and tracking objects in videos, this book covers a wide range of topics, ensuring that you will find projects that pique your interest and challenge your skills. Each project is accompanied by detailed explanations and code snippets, allowing you to follow along and implement the concepts yourself.

So, whether you are a computer vision enthusiast, a developer looking to expand your skillset, or simply someone curious about the fascinating world of computer vision, OpenCV 4 Computer Vision Projects with Python is the perfect book for you. Prepare to embark on an exciting journey and unlock the incredible potential of computer vision!

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Computer Vision: From Surfaces to 3D Objects

by Roberto Cipolla

Computer Vision: From Surfaces to 3D Objects by Roberto Cipolla is a fascinating exploration into the world of visual perception and understanding. This captivating book takes readers on a journey through the exciting field of computer vision, where surfaces and objects come to life through the power of algorithms and machine learning.

With its rich content and comprehensive approach, this book on computer vision is a must-read for anyone interested in the intersection of technology and the human visual system. As you delve into the pages, you’ll discover how computers can interpret and analyze visual data, unlocking the potential for a wide range of applications.

From recognizing faces and objects to understanding complex scenes, Cipolla’s book about computer vision covers it all. It dives deep into the underlying principles and techniques, offering a thorough understanding of the algorithms and methodologies used in this rapidly evolving field.

Whether you’re an aspiring computer scientist, a seasoned researcher, or simply curious about the capabilities of modern technology, this computer vision book will captivate your imagination. It will open your eyes to the incredible potential of machines to perceive and interpret the visual world around us.

So, if you’re ready to embark on a journey of discovery, grab a copy of Computer Vision: From Surfaces to 3D Objects and immerse yourself in the captivating world of computer vision.

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OpenCV 4 By Example

by Prateek Joshi

OpenCV 4 By Example by Prateek Joshi is an incredible journey into the fascinating world of computer vision. If you’ve ever been mesmerized by the incredible capabilities of artificial intelligence and image processing, then this book is your gateway to unlocking the secrets of this captivating field.

This book is not your average “book on computer vision” – it is a captivating adventure that takes you on a ride through the most mind-blowing applications of computer vision. From recognizing and tracking objects in real-time to building your own face recognition system, this book covers it all.

With OpenCV 4 By Example, you’ll dive deep into the world of computer vision, exploring its endless possibilities. You’ll learn how to harness the power of OpenCV, a leading open-source computer vision library, to develop cutting-edge applications that can analyze and interpret visual data.

Whether you’re a beginner or an experienced developer, this “book about computer vision” will guide you through the entire process of building your own computer vision applications. Each chapter is packed with practical examples and step-by-step instructions, making it easy for you to grasp even the most complex concepts.

So, if you’re ready to embark on a thrilling journey through the world of computer vision, grab a copy of OpenCV 4 By Example and get ready to unleash your creativity and explore the endless possibilities of this captivating field.

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Computer Vision: Algorithms, Applications, and Systems

by Richard Szeliski, Pietro Perona, and Piotr Dollar

Computer Vision is a captivating field that combines the power of artificial intelligence and image processing to mimic human vision. If you’re looking for a comprehensive guide to this exciting technology, look no further than the book on computer vision titled, “Computer Vision: Algorithms, Applications, and Systems” by Richard Szeliski, Pietro Perona, and Piotr Dollar.

This book about computer vision dives deep into the algorithms, techniques, and applications that make up this fascinating field. Whether you’re a seasoned professional or a curious beginner, this computer vision book will equip you with the knowledge and skills to navigate the complex world of computer vision.

From image recognition to scene understanding, this book covers it all. Through clear explanations and practical examples, the authors unravel the secrets behind computer vision and demonstrate how it can be applied in various domains such as robotics, healthcare, transportation, and more.

What sets this computer vision book apart is its emphasis on real-world applications and systems. The authors go beyond theory and provide insights into the challenges faced by computer vision practitioners. They also discuss cutting-edge research and emerging trends in the field, ensuring that you stay up to date with the latest advancements.

So, whether you’re a researcher, a developer, or just someone fascinated by the possibilities of computer vision, this book is your gateway to understanding and harnessing the power of this transformative technology. Get ready to embark on a journey into the world of computer vision and unlock its endless possibilities!

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OpenCV 4 Computer Vision Cookbook

by David Millán Escrivá, Robert Laganière, and Prateek Joshi

OpenCV 4 Computer Vision Cookbook is a remarkable book on computer vision that will unlock the potential of your vision applications. Whether you are a beginner or an expert, this book about computer vision is packed with practical recipes that will enhance your understanding of computer vision techniques.

With this computer vision book, you will dive into the world of image processing, object detection, and advanced machine learning techniques. The authors, David Millán Escrivá, Robert Laganière, and Prateek Joshi, have crafted a comprehensive guide that will help you master the art of computer vision.

From simple tasks like image filtering and transformation to more complex challenges like video analysis and deep learning, this book on computer vision covers it all. Each recipe is presented in a step-by-step manner, making it easy for you to follow along and implement the techniques in your own projects.

Whether you are working on face recognition, object tracking, or even augmented reality, this computer vision book will provide you with the tools and knowledge you need to succeed. The authors have also included practical tips and tricks that will help you optimize your applications and achieve better results.

Discover the power of OpenCV 4 with this comprehensive and engaging computer vision book. Unlock the potential of your vision applications and take your skills to the next level. Don’t miss out on this opportunity to become a master in the field of computer vision.

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Computer Vision: A Modern Approach (2nd Edition)

by David A. Forsyth and Jean Ponce

Computer Vision: A Modern Approach is a captivating book on the fascinating field of image analysis and understanding. Written by David A. Forsyth and Jean Ponce, this second edition is a comprehensive and engaging resource for anyone interested in the exciting world of computer vision.

With its clear and concise explanations, this book about computer vision covers a wide range of topics, from basic image processing techniques to advanced algorithms and applications. Whether you are a beginner or an experienced researcher, this computer vision book provides a solid foundation and keeps you up-to-date with the latest advancements in the field.

Through its well-structured chapters, the authors explore various aspects of computer vision, including image formation, feature detection and matching, 3D reconstruction, object recognition, and motion analysis. They also delve into more specialized topics like deep learning, visual tracking, and scene understanding.

What sets this book on computer vision apart is its emphasis on modern approaches and practical applications. The authors not only provide theoretical concepts but also offer real-world examples and case studies, making the content relatable and applicable to everyday situations.

Whether your interest lies in robotics, autonomous vehicles, medical imaging, or simply understanding how machines perceive the visual world, Computer Vision: A Modern Approach is a must-read. Its comprehensive coverage, engaging writing style, and practical examples make it an invaluable resource for both students and professionals in the field of computer vision.

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OpenCV 4 Computer Vision Projects

by David Millán Escrivá and Vinícius G. Mendonça

OpenCV 4 Computer Vision Projects by David Millán Escrivá and Vinícius G. Mendonça is an exciting book about the fascinating world of computer vision. If you are curious about the intersection of artificial intelligence and image processing, this book is perfect for you. Packed with practical projects and step-by-step instructions, it will guide you through the exciting journey of exploring computer vision.

From object detection and recognition to augmented reality and deep learning, this book covers a wide range of computer vision topics. Whether you are a beginner or an experienced developer, the authors provide clear explanations and code examples that will help you understand and implement the concepts effortlessly.

What sets this book apart is its emphasis on hands-on projects. Instead of just theory, you will get the chance to build real-world applications that showcase the power of computer vision. Whether you want to create a face recognition system, develop a gesture-controlled game, or build a virtual reality experience, this book has got you covered.

With OpenCV 4 as the main tool, you will learn to harness the power of this open-source computer vision library. OpenCV provides a wide range of functions and algorithms that enable you to analyze and manipulate images and videos with ease. By the end of this book, you will have a solid understanding of computer vision techniques and the ability to apply them to solve real-world problems.

If you are looking for a practical and engaging book on computer vision, OpenCV 4 Computer Vision Projects is the perfect choice. Dive into the world of image processing, unleash your creativity, and discover the endless possibilities that computer vision has to offer.