Pattern Recognition
ACPR 2019 Workshops, Auckland, New Zealand, November 26, 2019, Proceedings
Published on 7. March 2020
Book
Paperback/Softback
XIII, 278 pages
978-981-15-3650-2 (ISBN)
Description
This volume constitutes the refereed proceedings, presented during the ACPR 2019 Workshops, held in Auckland, New Zealand, in November 2019.
The 17 full papers and 6 short papers were carefully reviewed and selected out of numerous submissions. The papers are organized according to the topics of the workshops: computer vision for modern vehicles; advances and applications on generative deep learning models; image and pattern analysis for multidisciplinary computational anatomy; multi-sensor for action and gesture recognition; towards the automatic data processing chain for airborne and spaceborne sensors.
The 17 full papers and 6 short papers were carefully reviewed and selected out of numerous submissions. The papers are organized according to the topics of the workshops: computer vision for modern vehicles; advances and applications on generative deep learning models; image and pattern analysis for multidisciplinary computational anatomy; multi-sensor for action and gesture recognition; towards the automatic data processing chain for airborne and spaceborne sensors.
More details
Series
Edition
2020 ed.
Language
English
Place of publication
Singapore
Singapore
Target group
Professional and scholarly
Illustrations
109 farbige Abbildungen, 24 s/w Abbildungen
XIII, 278 p. 133 illus., 109 illus. in color.
Dimensions
Height: 235 mm
Width: 155 mm
Thickness: 16 mm
Weight
446 gr
ISBN-13
978-981-15-3650-2 (9789811536502)
DOI
10.1007/978-981-15-3651-9
Schweitzer Classification
Other editions
Additional editions
Michael Cree | Fay Huang | Junsong Yuan
Pattern Recognition
ACPR 2019 Workshops, Auckland, New Zealand, November 26, 2019, Proceedings
E-Book
03/2020
Springer
€53.49
Available for download
Content
Computer Vision for Modern Vehicles.- Advances and Applications on Generative Deep Learning Models.- Image and Pattern Analysis for Multidisciplinary Computational Anatomy.- Multi-Sensor for Action and Gesture Recognition.- Towards an Automatic Data Processing Chain for Airborne and Spaceborne Sensors.