Pattern recognition : 5th Asian Conference, ACPR 2019, Auckland, New Zealand, November 26-29, 2019, Revised selected papers. Part I / Shivakumara Palaiahnakote, Gabriella Sanniti di Baja, Liang Wang, Wei Qi Yan (eds.).
2020
TK7882.P3
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Title
Pattern recognition : 5th Asian Conference, ACPR 2019, Auckland, New Zealand, November 26-29, 2019, Revised selected papers. Part I / Shivakumara Palaiahnakote, Gabriella Sanniti di Baja, Liang Wang, Wei Qi Yan (eds.).
ISBN
9783030414047 (electronic book)
3030414043 (electronic book)
9783030414030
3030414043 (electronic book)
9783030414030
Published
Cham : Springer, 2020.
Language
English
Description
1 online resource (xxv, 931 pages) : illustrations.
Item Number
10.1007/978-3-030-41
Call Number
TK7882.P3
Dewey Decimal Classification
006.4
Summary
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.
Note
Includes author index.
Access Note
Access limited to authorized users.
Series
Lecture notes in computer science ; 12046.
LNCS sublibrary. SL 6, Image processing, computer vision, pattern recognition, and graphics.
LNCS sublibrary. SL 6, Image processing, computer vision, pattern recognition, and graphics.
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Table of Contents
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.
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.