| ISBN13: | 9781032317052 |
| ISBN10: | 1032317051 |
| Kötéstípus: | Keménykötés |
| Terjedelem: | 360 oldal |
| Méret: | 280x210 mm |
| Súly: | 830 g |
| Nyelv: | angol |
| Illusztrációk: | 7 Illustrations, black & white; 147 Illustrations, color; 108 Halftones, color; 7 Line drawings, black & white; 39 Line drawings, color; 41 Tables, black & white |
| 683 |
Valószínűségelmélet és matematikai statisztika
Villamosmérnöki tudományok, híradástechnika, műszeripar
Energetika, energiaipar
A számítástudomány elmélete, a számítástechnika általában
Mesterséges intelligencia
Digitális jel-, hang- és képfeldolgozás
A számítástechnika biztonsági és egészségügyi vonatkozásai
Környezetmérnöki tudományok
További műszaki könyvek
Computer Vision
GBP 120.00
Kattintson ide a feliratkozáshoz
A Prosperónál jelenleg nincsen raktáron.
The book highlights various core challenges, constructive criticism, and solutions by leading researchers in the field. It 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.
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.
?This book contains fifteen chapters written by academic leaders and seasoned industrial practitioners of Computer Vision. They cover the diversity of today?s application areas. Each chapter presents a comprehensive overview of existing systems and state of the art methodologies as well as future trends. This timely book will be enjoyed by today?s researchers, practitioners, and students of Computer Vision.? --Takeo Kanade, U. A. and Helen Whitaker University Professor, Carnegie Mellon University
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
