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Overview: 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 was a curiosity research field. Today, after five decades of research and development that include periods with both good and struggling progress, Computer Vision has found its applications everywhere from everyday cell phones to securities, entertainment, robotics, industrial, medical, and military domains. Advanced imaging sensors produce high-resolution images and videos at a high frame rate, even in 3D. High-performance low-power computers execute computation-hungry vision algorithms even in handheld devices. And, of course, Deep Neural Net Learning played the most critical role to turn Computer Vision into an amazingly impactful technology.
Genre: Non-Fiction > Tech & Devices
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