Computer Vision
eBook - ePub

Computer Vision

Challenges, Trends, and Opportunities

  1. 360 pages
  2. English
  3. ePUB (mobile friendly)
  4. Only available on web
eBook - ePub

Computer Vision

Challenges, Trends, and Opportunities

Book details
Table of contents
Citations

About This Book

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.

Frequently asked questions

Simply head over to the account section in settings and click on “Cancel Subscription” - it’s as simple as that. After you cancel, your membership will stay active for the remainder of the time you’ve paid for. Learn more here.
At the moment all of our mobile-responsive ePub books are available to download via the app. Most of our PDFs are also available to download and we're working on making the final remaining ones downloadable now. Learn more here.
Both plans give you full access to the library and all of Perlego’s features. The only differences are the price and subscription period: With the annual plan you’ll save around 30% compared to 12 months on the monthly plan.
We are an online textbook subscription service, where you can get access to an entire online library for less than the price of a single book per month. With over 1 million books across 1000+ topics, we’ve got you covered! Learn more here.
Look out for the read-aloud symbol on your next book to see if you can listen to it. The read-aloud tool reads text aloud for you, highlighting the text as it is being read. You can pause it, speed it up and slow it down. Learn more here.
Yes, you can access Computer Vision by Md Atiqur Rahman Ahad, Upal Mahbub, Matthew Turk, Richard Hartley, Md Atiqur Rahman Ahad,Upal Mahbub,Matthew Turk,Richard Hartley in PDF and/or ePUB format, as well as other popular books in Informatique & Vision par ordinateur et reconnaissance de formes. We have over one million books available in our catalogue for you to explore.

Information

Publisher
Chapman and Hall/CRC
Year
2024
ISBN
9781040029442
Edition
1
Topic
Informatique
Subtopic
Vision par ordinateur et reconnaissance de formes

Table of contents

  1. Cover Page
  2. Half-Title Page
  3. Series Page
  4. Title Page
  5. Copyright Page
  6. Contents
  7. Foreword
  8. Preface
  9. Editor Biographies
  10. 1 Some Challenges and Solutions in Data-Driven AI
  11. 2 Challenges of Computer Vision Research from an Industry Perspective
  12. 3 Soft Biometrics for Human Identification
  13. 4 Exploring Causes of Demographic Variations in Face Recognition Accuracy
  14. 5 AI Knows What You Did Last Summer: Applications in Digital Forensics
  15. 6 Advances in Computer Vision for Home-Based Stroke Rehabilitation
  16. 7 U-Net-based Medical Image Segmentation: A Comparative Analysis and Future Trends
  17. 8 Robot-Mediated Assistance: Opportunities and Challenges in Computer Vision and Human-Robot Interaction
  18. 9 Computer Vision Applications in Underwater Robotics and Oceanography
  19. 10 Applications of Computer Vision in Entertainment and Media Industry
  20. 11 Quality Assessment in Media and Entertainment: Challenges and Trends
  21. 12 Immersive User Experiences: Trends and Challenges of Using XR Technologies
  22. 13 Multi-camera Bird's Eye View Perception for Autonomous Driving
  23. 14 The (Computer) Vision of Sports: Recent Trends in Research and Commercial Systems for Sport Analytics
  24. 15 Spike-Based Neuromorphic Computing for Next-Generation Computer Vision
  25. Index