1.

Record Nr.

UNISA996465350203316

Titolo

Pattern Recognition [[electronic resource] ] : ACPR 2019 Workshops, Auckland, New Zealand, November 26, 2019, Proceedings / / edited by Michael Cree, Fay Huang, Junsong Yuan, Wei Qi Yan

Pubbl/distr/stampa

Singapore : , : Springer Singapore : , : Imprint : Springer, , 2020

ISBN

981-15-3651-1

Edizione

[1st ed. 2020.]

Descrizione fisica

1 online resource (XIII, 278 p. 133 illus., 109 illus. in color.)

Collana

Communications in Computer and Information Science, , 1865-0929 ; ; 1180

Disciplina

006.4

Soggetti

Pattern recognition

Computers

Computer organization

Machine learning

Optical data processing

Application software

Pattern Recognition

Information Systems and Communication Service

Computer Systems Organization and Communication Networks

Machine Learning

Image Processing and Computer Vision

Computer Applications

Lingua di pubblicazione

Inglese

Formato

Materiale a stampa

Livello bibliografico

Monografia

Nota di bibliografia

Includes bibliographical references and index.

Nota di contenuto

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. .

Sommario/riassunto

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. .