Image Analysis and Processing - ICIAP 2022 : 21st International Conference, Lecce, Italy, May 23-27, 2022, Proceedings, Part II /

The proceedings set LNCS 13231, 13232, and 13233 constitutes the refereed proceedings of the 21st International Conference on Image Analysis and Processing, ICIAP 2022, which was held during May 23-27, 2022, in Lecce, Italy, The 168 papers included in the proceedings were carefully reviewed and sele...

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Bibliographic Details
Corporate Author:	SpringerLink (Online service)
Other Authors:	Sclaroff, Stan (Editor), Distante, Cosimo (Editor), Leo, Marco (Editor), Farinella, Giovanni M. (Editor), Tombari, Federico (Editor)
Format:	eBook
Language:	English
Published:	Cham : Springer International Publishing : Imprint: Springer, 2022.
Edition:	1st ed. 2022.
Series:	Lecture Notes in Computer Science, 13232
Subjects:	Computer vision. Computer engineering. Computer networks . Machine learning. Pattern recognition systems. Application software. Computer Vision. Computer Engineering and Networks. Machine Learning. Computer Communication Networks. Automated Pattern Recognition. Computer and Information Systems Applications. Electronic books.
Online Access:	Connect to the full text of this electronic book

Description
Summary:	The proceedings set LNCS 13231, 13232, and 13233 constitutes the refereed proceedings of the 21st International Conference on Image Analysis and Processing, ICIAP 2022, which was held during May 23-27, 2022, in Lecce, Italy, The 168 papers included in the proceedings were carefully reviewed and selected from 307 submissions. They deal with video analysis and understanding; pattern recognition and machine learning; deep learning; multi-view geometry and 3D computer vision; image analysis, detection and recognition; multimedia; biomedical and assistive technology; digital forensics and biometrics; image processing for cultural heritage; robot vision; et cetera.
Physical Description:	1 online resource (XVI, 773 pages 298 illustrations, 280 illustrations in color.)
ISBN:	9783031064302
ISSN:	1611-3349 ;
DOI:	10.1007/978-3-031-06430-2