Volume 13052
Lecture Notes in Computer Science Image Processing, Computer Vision, Pattern Recognition, and Graphics
Editorial Board
Elisa Bertino
Purdue University, West Lafayette, IN, USA
Wen Gao
Peking University, Beijing, China
Bernhard Steffen
TU Dortmund University, Dortmund, Germany
Gerhard Woeginger
RWTH Aachen, Aachen, Germany
Moti Yung
Columbia University, New York, NY, USA
Founding Editors
Gerhard Goos
Karlsruhe Institute of Technology, Karlsruhe, Germany
Juris Hartmanis
Cornell University, Ithaca, NY, USA
More information about this subseries at http://www.springer.com/series/7412
Editors
Nicolas Tsapatsoulis , Andreas Panayides , Theo Theocharides , Andreas Lanitis , Constantinos Pattichis and Mario Vento
Computer Analysis of Images and Patterns
19th International Conference, CAIP 2021, Virtual Event, September 2830, 2021, Proceedings, Part I
1st ed. 2021
Logo of the publisher
Editors
Nicolas Tsapatsoulis
Cyprus University of Technology, Limassol, Cyprus
Andreas Panayides
University of Cyprus, Nicosia, Cyprus
Theo Theocharides
University of Cyprus, Nicosia, Cyprus
Andreas Lanitis
Cyprus University of Technology, Limassol, Cyprus
CYENS Centre of Excellence, Nicosia, Cyprus
Constantinos Pattichis
University of Cyprus, Nicosia, Cyprus
CYENS Centre of Excellence, Nicosia, Cyprus
Mario Vento
University of Salerno, Salerno, Italy
ISSN 0302-9743 e-ISSN 1611-3349
Lecture Notes in Computer Science Image Processing, Computer Vision, Pattern Recognition, and Graphics
ISBN 978-3-030-89127-5 e-ISBN 978-3-030-89128-2
https://doi.org/10.1007/978-3-030-89128-2
Springer Nature Switzerland AG 2021
This work is subject to copyright. All rights are reserved by the Publisher, whether the whole or part of the material is concerned, specifically the rights of translation, reprinting, reuse of illustrations, recitation, broadcasting, reproduction on microfilms or in any other physical way, and transmission or information storage and retrieval, electronic adaptation, computer software, or by similar or dissimilar methodology now known or hereafter developed.
The use of general descriptive names, registered names, trademarks, service marks, etc. in this publication does not imply, even in the absence of a specific statement, that such names are exempt from the relevant protective laws and regulations and therefore free for general use.
The publisher, the authors and the editors are safe to assume that the advice and information in this book are believed to be true and accurate at the date of publication. Neither the publisher nor the authors or the editors give a warranty, expressed or implied, with respect to the material contained herein or for any errors or omissions that may have been made. The publisher remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
This Springer imprint is published by the registered company Springer Nature Switzerland AG
The registered company address is: Gewerbestrasse 11, 6330 Cham, Switzerland
Preface
Welcome to the proceedings of the 19th International Conference on Computer Analysis of Images and Patterns (CAIP 2021), which took place during September 2830, 2021. The CAIP series of biennial international conferences is devoted to all aspects of computer vision, image analysis and processing, pattern recognition, and related fields. Previous conferences were held in Salerno, Ystad, Valletta, York, Seville, Mnster, Vienna, and Paris, amongst other places. Due to the ongoing COVID-19 pandemic, CAIP 2021 was held as a virtual conference, but the organizing committee were dedicated to offering the best possible online experience.
The scientific program of the conference consisted of plenary lectures and contributed papers presented in a single track. A total of 129 papers were submitted to CAIP 2021, which were reviewed in a single-blind process with at least two reviewers per paper. A total of 87 papers were accepted. The program featured the presentation of these papers organized into the following 15 sessions:
Session 1: 3D Vision I
Session 2: 3D Vision II
Session 3: Biomedical Image and Pattern Analysis I: Segmentation
Session 4: Biomedical Image and Pattern Analysis II: Segmentation and Classification
Session 5: Biomedical Image and Pattern Analysis III: Disease Diagnosis
Session 6: Deep Learning I: Classification
Session 7: Deep Learning II: Classification
Session 8: Deep Learning III: Image Processing and Analysis
Session 9: Machine Learning for Image and Pattern Analysis
Session 10: Feature Extraction
Session 11: Object Recognition
Session 12: Face and Gesture
Session 13: Guess the Age Contest
Session 14: Biometrics, Cryptography and Security
Session 15: Segmentation and Image Restoration
CAIP 2021 featured a contest on Guess the Age: Age Estimation From Facial Images with Deep Convolutional Neural Networks organized by Antonio Greco, University of Salerno, Italy. In addition, the CAIP 2021 program included distinguished plenary and keynote speakers from academia and industry who shared their insights and accomplishments as well as their vision for the future of the field. Moreover, CAIP 2021 included three tutorials as follows:
Tutorial 1: Discovering Patterns in the Road from Genotype to Phenotype
Tutorial 2: Video Summarization for Unpaired Videos
Tutorial 3: Large Scale Video Analytics.
We want to express our deepest appreciation to all the members of the CAIP 2021 organizing committee and Technical Program Committee, as well as all the reviewers, for their dedication and hard work in creating an excellent scientific program. We want to thank all the authors who submitted their papers to CAIP 2021, and all of those who presented and shared their work. Finally, we would like thank all the participants for taking part in the conference.
We hope that you enjoyed this exciting and memorable event, and we look forward to meeting in person at the next CAIP!
Constantinos Pattichis
Andreas Lanitis
Nicolas Tsapatsoulis
Andreas Panayides
Theo Theocharides
Mario Vento
October 2021