Computer Vision Challenges, Trends, and Opportunities Chapman & Hall/CRC Computer Vision Series

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.

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

Md Atiqur Rahman Ahad, Ph.D., Senior Member, IEEE, Senior Member, OPTICA (formerly OSA), is a Professor of Electrical & Electronic Engineering, University of Dhaka (DU). He is currently working as a specially appointed Associate Professor at Osaka University, Japan. He works on computer vision, imaging, IoT, healthcare, etc. He was awarded the prestigious UGC Gold Medal (handed by Honorable President of Bangladesh in 2018), JSPS Postdoctoral Fellowship, and a no. of awards/scholarships. He was a Visiting Researcher at KIT. He has published over ten books and ~200 journal articles, conference papers and book chapters. He has received ~40 international awards in various conferences/journals/societies. Ahad was invited as keynote/invited speakers ~110 times in different conferences/universities. He has established several international MOU/collaborations (e.g., Clemson University, University of Hyogo, RCCIIT, Fukuoka Women University, Kyushu University, etc.).
Website: http://ahadVisionLab.com

Upal Mahbub, Ph.D., Senior Member IEEE, is currently working as a Senior Engineer at the Multimedia R&D Lab at Qualcomm Technologies Inc., San Diego, California, USA. He received his Ph.D. (2018) and an M.Sc. (2017) degrees in Electrical and Computer Engineering from the University of Maryland College Park. Before joining the Ph.D. program, Dr. Mahbub was an Assistant Professor at the Dept. of EEE, Bangladesh University of Engineering and Technology, Dhaka, Bangladesh. Upal Mahbub is the recipient of the best paper award at IEEE UEMCON 2016, the best poster award at BTAS 2016, the best paper award at ICCIT 2011, and a distinguished graduate fellowship from the A. James Clark School of Engineering at the University of Maryland. He has published over thirty articles in international conferences and prestigious journals, recently published an edited book entitled “Contactless Human Activity Analysis”, served as editor in international journals (guest editor of