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Frontiers of Computer Vision : 28th International Workshop, IW-FCV 2022, Hiroshima, Japan, February 21-22, 2022, Revised Selected Papers / edited by Kazuhiko Sumi, In Seop Na, Naoshi Kaneko.

SpringerLink Books Computer Science (2011-2024) Available online

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Format:
Book
Contributor:
Sumi, Kazuhiko, Editor.
Na, In Seop, Editor.
Kaneko, Naoshi, Editor.
SpringerLink (Online service)
Series:
Computer Science (SpringerNature-11645)
Communications in computer and information science 1865-0937 ; 1578
Communications in Computer and Information Science, 1865-0937 ; 1578
Language:
English
Subjects (All):
Artificial intelligence.
Pattern recognition systems.
Computer vision.
Computer engineering.
Computer networks.
Social sciences-Data processing.
Artificial Intelligence.
Automated Pattern Recognition.
Computer Vision.
Computer Engineering and Networks.
Computer Application in Social and Behavioral Sciences.
Local Subjects:
Artificial Intelligence.
Automated Pattern Recognition.
Computer Vision.
Computer Engineering and Networks.
Computer Application in Social and Behavioral Sciences.
Physical Description:
1 online resource (XIII, 357 pages) : 258 illustrations, 218 illustrations in color.
Edition:
1st ed. 2022.
Contained In:
Springer Nature eBook
Place of Publication:
Cham : Springer International Publishing : Imprint: Springer, 2022.
System Details:
text file PDF
Summary:
This book constitutes refereed proceedings of the 28th International Workshop on Frontiers of Computer Vision, IW-FCV 2022, held in Hiroshima, Japan, in February 2022. Due to the COVID-19 pandemic the conference was held online. The 24 full papers presented in this volume were thoroughly reviewed and selected from 63 submissions. The papers are organized according to the following topics: camera, 3D, and imaging; learning algorithm; object detection/segmentation; recognition/generation.
Contents:
Camera, 3D, and Imaging
Learning Algorithm
Object Detection/Segmentation
Recognition/Generation.
Other Format:
Printed edition:
ISBN:
978-3-031-06381-7
9783031063817
Access Restriction:
Restricted for use by site license.

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