コンピュータビジョン:課題・潮流・機会<br>Computer Vision : Challenges, Trends, and Opportunities (Chapman & Hall/crc Computer Vision)

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コンピュータビジョン:課題・潮流・機会
Computer Vision : Challenges, Trends, and Opportunities (Chapman & Hall/crc Computer Vision)

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  • 製本 Hardcover:ハードカバー版/ページ数 348 p.
  • 言語 ENG
  • 商品コード 9781032317052
  • DDC分類 006.37

Full Description

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.

Contents

Foreword by Takeo Kanade

1 Some Challenges and Solutions in Data-Driven AI

Rama Chellappa, Jiang Liu, Chun Pong Lau, and Prithviraj Dhar

2 Challenges of Computer Vision Research from an Industry Perspective

Fatih Porikli

3 Soft Biometrics for Human Identication

Mark S. Nixon and Emad Sami Jaha

4 Exploring Causes of Demographic Variations in Face Recognition Accuracy

Gabriella Pangelinan, K.S. Krishnapriya, Vitor Albiero, Grace Bezold, Kai Zhang, Kushal Vangara,

Michael C. King, and Kevin W. Bowyer

5 AI Knows What You Did Last Summer: Applications in Digital Forensics

Jing Yang, José Nascimento, Gabriel Bertocco, Antonio Theophilo, Rafael Padilha, Aurea Soriano-Vargas, Fernanda A. Andaló, and Anderson Rocha

6 Advances in Computer Vision for Home-Based Stroke Rehabilitation

7 U-Net-based Medical Image Segmentation: A Comparative Analysis and Future Trends

Sidike Paheding, Abel A. Reyes-Angulo, and Mohammad S. Alam

8 Robot-Mediated Assistance: Opportunities and Challenges in Computer Vision and Human—Robot Interaction

Md Alimoor Reza and Syed Masum Billah

9 Computer Vision Applications in Underwater Robotics and Oceanography

Md Jahidul Islam, Alberto Quattrini Li, Yogesh A Girdhar, and Ioannis Rekleitis

10 Applications of Computer Vision in Entertainment and Media Industry

Mahmudul Hasan, Kishan Shamsundar Athrey, Arfeen Khalid, Danfeng Xie, Ehsan Younessian, and Tony Braskich

11 Quality Assessment in Media and Entertainment: Challenges and Trends

Abhinau K. Venkataramanan, Zaixi Shang, Joshua P. Ebenezer, Meixu Chen, Zhengzhong Tu, and Alan C. Bovik

12 Immersive User Experiences: Trends and Challenges of Using XR Technologies

Vasudev Bhaskaran and Upal Mahbub

Kowshik Thopalli, Niccolo Meniconi, Tamim Ahmed, Sai Krishna Yeshala, Aisling Kelliher, Thanassis Rikakis, and Pavan Turaga

13 Multi-camera Bird's Eye View Perception for Autonomous Driving

David Unger, Nikhil Gosala, Varun Ravi Kumar, Shubhankar Borse, Abhinav Valada, and Senthil Yogamani

14 The (Computer) Vision of Sports: Recent Trends in Research and Commercial Systems for Sport Analytics

Rikke Gade, Michele Merler, Graham Thomas, and Thomas B. Moeslund

15 Spike-Based Neuromorphic Computing for Next-Generation Computer Vision

Md Sakib Hasan, Catherine D. Schuman, Zhongyang Zhang, Tauhidur Rahman, and Garrett S. Rose

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