Overview
Part of the book series: Lecture Notes in Computer Science (LNCS, volume 12636)
Part of the book sub series: Image Processing, Computer Vision, Pattern Recognition, and Graphics (LNIP)
Included in the following conference series:
Conference proceedings info: RRPR 2021.
Buy print copy
About this book
This book constitutes the thoroughly refereed post-workshop proceedings of the Third International Workshop on Reproducible Research in Pattern Recognition, RRPR 2021, held as a virtual event, in January 2021.
The 8 revised full papers, presented together with 6 short papers, were carefully reviewed and selected from 18 submissions.
The papers were organized into three main categories. The first contributions focused on reproducible research frameworks. The second category focused on reproducible research results and the last category included ICPR companion papers describing implementation and details that are an absolute requirement for reproducibility.
Similar content being viewed by others
Keywords
- reproducible research
- reproducibility
- pattern recognition
- image processing
- image analysis
- computer vision
- digital geometry
- semi-supervised learning
- shape analysis
- evaluation framework
- document image analysis
- image denoising
- robust image processing
- structure from motion
- multiple-view geometry
- segment detection
- IPOL
- machine learning
- source codes
- neural networks
Table of contents (13 papers)
-
Front Matter
-
Reproducible Research Results
-
Front Matter
-
-
RRPR Short Papers
-
Front Matter
-
-
Back Matter
Other volumes
-
Reproducible Research in Pattern Recognition
Editors and Affiliations
Bibliographic Information
Book Title: Reproducible Research in Pattern Recognition
Book Subtitle: Third International Workshop, RRPR 2021, Virtual Event, January 11, 2021, Revised Selected Papers
Editors: Bertrand Kerautret, Miguel Colom, Adrien Krähenbühl, Daniel Lopresti, Pascal Monasse, Hugues Talbot
Series Title: Lecture Notes in Computer Science
DOI: https://doi.org/10.1007/978-3-030-76423-4
Publisher: Springer Cham
eBook Packages: Computer Science, Computer Science (R0)
Copyright Information: Springer Nature Switzerland AG 2021
Softcover ISBN: 978-3-030-76422-7Published: 14 May 2021
eBook ISBN: 978-3-030-76423-4Published: 13 May 2021
Series ISSN: 0302-9743
Series E-ISSN: 1611-3349
Edition Number: 1
Number of Pages: X, 173
Number of Illustrations: 18 b/w illustrations, 54 illustrations in colour
Topics: Computer Applications, Computer Systems Organization and Communication Networks, Computing Milieux, Artificial Intelligence, Computer Communication Networks, Special Purpose and Application-Based Systems
