Sprache: Englisch
Verlag: Springer Nature Switzerland AG, 2021
ISBN 10: 3030695433 ISBN 13: 9783030695439
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Sprache: Englisch
Verlag: Springer Nature Switzerland AG, 2021
ISBN 10: 3030695433 ISBN 13: 9783030695439
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Sprache: Englisch
Verlag: Springer International Publishing, 2021
ISBN 10: 3030695433 ISBN 13: 9783030695439
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Zustand: New. The six volume set of LNCS 12622-12627 constitutes the proceedings of the 15th Asian Conference on Computer Vision, ACCV 2020, held in Kyoto, Japan, in November/ December 2020.*The total of 254 contributions was carefully reviewed and selected from 768 s.
Taschenbuch. Zustand: Neu. Computer Vision - ACCV 2020 | 15th Asian Conference on Computer Vision, Kyoto, Japan, November 30 - December 4, 2020, Revised Selected Papers, Part VI | Hiroshi Ishikawa (u. a.) | Taschenbuch | Lecture Notes in Computer Science | xviii | Englisch | 2021 | Springer | EAN 9783030695439 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.
Sprache: Englisch
Verlag: Springer-Nature New York Inc, 2021
ISBN 10: 3030695433 ISBN 13: 9783030695439
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Taschenbuch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - The six volume set of LNCS 12622-12627 constitutes the proceedings of the 15th Asian Conference on Computer Vision, ACCV 2020, held in Kyoto, Japan, in November/ December 2020.\*The total of 254 contributions was carefully reviewed and selected from 768 submissions during two rounds of reviewing and improvement. The papers focus on the following topics:Part I: 3D computer vision; segmentation and groupingPart II: low-level vision, image processing; motion and trackingPart III: recognition and detection; optimization, statistical methods, and learning; robot visionPart IV: deep learning for computer vision, generative models for computer visionPart V: face, pose, action, and gesture; video analysis and event recognition; biomedical image analysisPart VI: applications of computer vision; vision for X; datasets and performance analysis\*The conference was held virtually.
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