Computer Vision and Machine Learning with RGB-D Sensors

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Hardback
8-11 hverdage
1.136,95 kr.

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examines the effective features that characterize static hand poses and introduces a unified framework to enforce both temporal and spatial constraints for hand parsing; proposes a new classifier architecture for real-time hand pose recognition and a novel hand segmentation and gesture recognition system.

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Sprog:
Engelsk

ISBN:
9783319086507

Forlag:
Springer International Publishing AG

Indbinding:
Hardback

Sideantal:
316

Udgivet:
5. august 2014

Udgave:
2014

Størrelse:
241x166x24 mm.

Vægt:
682 g.

Leveringstid: 8-11 hverdage.
Forventet levering: 6. december 2024

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examines the effective features that characterize static hand poses and introduces a unified framework to enforce both temporal and spatial constraints for hand parsing; proposes a new classifier architecture for real-time hand pose recognition and a novel hand segmentation and gesture recognition system.

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Business og læring > Computer og IT

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