1.

Record Nr.

UNINA9910380748203321

Titolo

Pattern Recognition : 5th Asian Conference, ACPR 2019, Auckland, New Zealand, November 26–29, 2019, Revised Selected Papers, Part I / / edited by Shivakumara Palaiahnakote, Gabriella Sanniti di Baja, Liang Wang, Wei Qi Yan

Pubbl/distr/stampa

Cham : , : Springer International Publishing : , : Imprint : Springer, , 2020

ISBN

3-030-41404-3

Edizione

[1st ed. 2020.]

Descrizione fisica

1 online resource (XXV, 931 p. 427 illus., 360 illus. in color.)

Collana

Image Processing, Computer Vision, Pattern Recognition, and Graphics ; ; 12046

Disciplina

006.4

Soggetti

Pattern recognition systems

Computer networks

Image processing - Digital techniques

Computer vision

Application software

Computer engineering

Education - Data processing

Automated Pattern Recognition

Computer Communication Networks

Computer Imaging, Vision, Pattern Recognition and Graphics

Computer and Information Systems Applications

Computer Engineering and Networks

Computers and Education

Lingua di pubblicazione

Inglese

Formato

Materiale a stampa

Livello bibliografico

Monografia

Nota di bibliografia

Includes bibliographical references and index.

Nota di contenuto

Classification, Action and Video and Motion -- Object Detection and Anomaly Detection -- Segmentation, Grouping and Shape -- Face and Body and Biometrics -- Adversarial Learning and Networks -- Computational Photography -- Learning Theory and Optimization -- Applications, Medical and Robotics -- Computer Vision and Robot Vision.



Sommario/riassunto

This two-volume set constitutes the proceedings of the 5th Asian Conference on ACPR 2019, held in Auckland, New Zealand, in November 2019. The 9 full papers presented in this volume were carefully reviewed and selected from 14 submissions. They cover topics such as: classification; action and video and motion; object detection and anomaly detection; segmentation, grouping and shape; face and body and biometrics; adversarial learning and networks; computational photography; learning theory and optimization; applications, medical and robotics; computer vision and robot vision; pattern recognition and machine learning; multi-media and signal processing; and interaction.