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Record Nr. |
UNISA996418207503316 |
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Titolo |
Pattern Recognition [[electronic resource] ] : 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 |
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Pubbl/distr/stampa |
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Cham : , : Springer International Publishing : , : Imprint : Springer, , 2020 |
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ISBN |
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Edizione |
[1st ed. 2020.] |
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Descrizione fisica |
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1 online resource (XXV, 931 p. 427 illus., 360 illus. in color.) |
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Collana |
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Image Processing, Computer Vision, Pattern Recognition, and Graphics ; ; 12046 |
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Disciplina |
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Soggetti |
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Pattern recognition |
Computers |
Optical data processing |
Application software |
Computer organization |
Education—Data processing |
Pattern Recognition |
Information Systems and Communication Service |
Computer Imaging, Vision, Pattern Recognition and Graphics |
Computer Applications |
Computer Systems Organization and Communication Networks |
Computers and Education |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Nota di bibliografia |
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Includes bibliographical references and index. |
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Nota di contenuto |
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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. |
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Sommario/riassunto |
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This two-volume set constitutes the proceedings of the 5th Asian |
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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. |
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