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Computer Vision and Graphics

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Computer Vision and Graphics Synopsis

This book contains nine papers presented at the conference devoted to cutting-edge technologies and concepts related to image processing. A broad collection of problems including deep learning versus classical features, automatic description, image registration and 3D operations, new concepts in CAPTCHA, emotional reactions to VR, color blindness tests, and Digital Twins, is investigated. Research on these issues is important, among others due to that large amounts of video data are collected continually. They can be easily stored, but their analysis is still a challenge. The book is primarily intended for researchers and practitioners in image analysis and generation, as well as for students in the fields related to computer science. However, any reader interested in the subject matter of the book will find some chapters interesting and valuable.

About This Edition

ISBN: 9783032233882
Publication date:
Author: Leszek Chmielewski, Ryszard Kozera, Arkadiusz Orlowski
Publisher: Springer an imprint of Springer Nature Switzerland
Format: Paperback
Pagination: 133 pages
Series: Lecture Notes in Networks and Systems
Genres: Artificial intelligence
Computer vision

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