5 Best Computer Vision Books That You Must Read

List of 5 best Computer Vision Books. Computer Vision is an interdisciplinary scientific field that deals with how computers can gain high-level understanding from digital images or videos. Check out the booklist.

1. Computer Vision: Algorithms and Applications

Computer Vision: Algorithms and Applications explores the variety of techniques commonly used to analyze and interpret images. It also describes challenging real-world applications where vision is being successfully used, both for specialized applications such as medical imaging, and for fun, consumer-level tasks such as image editing and stitching, which students can apply to their own personal photos and videos.

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2. Practical Deep Learning for Cloud, Mobile, and Edge

Whether you’re a software engineer aspiring to enter the world of deep learning, a veteran data scientist, or a hobbyist with a simple dream of making the next viral AI app, you might have wondered where to begin. This step-by-step guide teaches you how to build practical deep learning applications for the cloud, mobile, browsers, and edge devices using a hands-on approach.

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3. Concise Computer Vision

This textbook provides an accessible general introduction to the essential topics in computer vision. Classroom-tested programming exercises and review questions are also supplied at the end of each chapter.

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4. Deep Learning for Vision Systems

Deep Learning for Vision Systems answers that by applying deep learning to computer vision. Using only high school algebra, this book illuminates the concepts behind visual intuition. You’ll understand how to use deep learning architectures to build vision system applications for image generation and facial recognition.