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Can I read Computer Vision: Challenges, Trends, and Opportunities (Chapman & Hall/CRC Computer Vision) on EtoBox?
Computer Vision: Challenges, Trends, and Opportunities (Chapman & Hall/CRC Computer Vision) by Md Atiqur Rahman Ahad, Upal Mahbub, Matthew Turk, Richard Hartley (eds.) is a nonfiction available to read on EtoBox.
What is Computer Vision: Challenges, Trends, and Opportunities (Chapman & Hall/CRC Computer Vision) about?
Computer vision has made enormous progress in recent years, and its applications are multifaceted and growing quickly, while many challenges still remain. This book brings together a range of leading researchers to examine a wide variety of research directions, challenges, and prospects for computer vision and its applications. This book highlights various core challenges as well as solutions by leading researchers in the field. It covers such important topics as data-driven AI, biometrics, digital forensics, healthcare, robotics, entertainment and XR, autonomous driving, sports analytics, and neuromorphic computing, covering both academic and industry R&D perspectives. Providing a mix of breadth and depth, this book will have an impact across the fields of computer vision, imaging, and AI. Computer Vision: Challenges, Trends, and Opportunities covers timely and important aspects of computer vision and its applications, highlighting the challenges ahead and providing a range of perspectives from top researchers around the world. A substantial compilation of ideas and state-of-the-art solutions, it will be of great benefit to students, researchers, and industry practitioners. Cover
Who reads Computer Vision: Challenges, Trends, and Opportunities (Chapman & Hall/CRC Computer Vision)?
It is typically read by self-directed learners exploring a subject in depth.
Common subject areas: history, science, philosophy, social sciences.
- Author
- Md Atiqur Rahman Ahad, Upal Mahbub, Matthew Turk, Richard Hartley (eds.)
- Publisher
- Chapman and Hall/CRC
- Published
- 2024
- Language
- EN
- ISBN
- 9781032317052
- Category
- nonfiction
- Subjects
- Computer Science, Stem
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