Computer Vision. Challenges, Trends, and
β Md Atiqur Rahman Ahad, Upal Mahbub, Matthew Turk, Richard Hartley
π Library
π
2025
π CRC Press
π English
β¦ LIBER β¦
π
Computer Vision: Challenges, Trends, and Opportunities (Chapman & Hall/CRC Computer Vision)
β Scribed by Md Atiqur Rahman Ahad (editor), Upal Mahbub (editor), Matthew Turk (editor), Richard Hartley (editor)
- Publisher
- Chapman and Hall/CRC
- Year
- 2024
- Tongue
- English
- Leaves
- 359
- Edition
- 1
- Category
- Library
β¬ Acquire This Volume
No coin nor oath required. For personal study only.
β¦ Synopsis
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.
β¦ Table of Contents
Cover
Half Title
Series Page
Title Page
Copyright Page
Contents
Foreword
Preface
Editor Biographies
1. Some Challenges and Solutions in Data-Driven AI
2. Challenges of Computer Vision Research from an Industry Perspective
3. Soft Biometrics for Human Identification
4. Exploring Causes of Demographic Variations in Face Recognition Accuracy
5. AI Knows What You Did Last Summer: Applications in Digital Forensics
6. Advances in Computer Vision for Home-Based Stroke Rehabilitation
7. U-Net-based Medical Image Segmentation: A Comparative Analysis and Future Trends
8. Robot-Mediated Assistance: Opportunities and Challenges in Computer Vision and HumanβRobot Interaction
9. Computer Vision Applications in Underwater Robotics and Oceanography
10. Applications of Computer Vision in Entertainment and Media Industry
11. Quality Assessment in Media and Entertainment: Challenges and Trends
12. Immersive User Experiences: Trends and Challenges of Using XR Technologies
13. Multi-camera Bird's Eye View Perception for Autonomous Driving
14. The (Computer) Vision of Sports: Recent Trends in Research and Commercial Systems for Sport Analytics
15. Spike-Based Neuromorphic Computing for Next-Generation Computer Vision
Index
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