Gesture Recognition - 8 Angebote vergleichen
Preise | Apr. 17 | März 19 | Sep. 19 |
---|---|---|---|
Schnitt | € 119,00 | € 148,49 | € 138,31 |
Nachfrage |
1
Gesture Recognition (2017)
DE NW
ISBN: 9783319570204 bzw. 331957020X, in Deutsch, 578 Seiten, Springer-Verlag GmbH, neu.
Lieferung aus: Deutschland, Versandkosten nach: Deutschland, Versandkostenfrei.
Von Händler/Antiquariat, buchversandmimpf2000, [3715720].
Neuware - This book presents a selection of chapters, written by leading international researchers, related to the automatic analysis of gestures from still images and multi-modal RGB-Depth image sequences. It offers a comprehensive review of vision-based approaches for supervised gesture recognition methods that have been validated by various challenges. Several aspects of gesture recognition are reviewed, including data acquisition from different sources, feature extraction, learning, and recognition of gestures. 15.08.2017, Buch, Neuware, 241x159x40 mm, 1057g, 578, PayPal, Banküberweisung.
Von Händler/Antiquariat, buchversandmimpf2000, [3715720].
Neuware - This book presents a selection of chapters, written by leading international researchers, related to the automatic analysis of gestures from still images and multi-modal RGB-Depth image sequences. It offers a comprehensive review of vision-based approaches for supervised gesture recognition methods that have been validated by various challenges. Several aspects of gesture recognition are reviewed, including data acquisition from different sources, feature extraction, learning, and recognition of gestures. 15.08.2017, Buch, Neuware, 241x159x40 mm, 1057g, 578, PayPal, Banküberweisung.
2
Gesture Recognition (2017)
DE NW
ISBN: 9783319570204 bzw. 331957020X, in Deutsch, Springer-Verlag Gmbh Jul 2017, neu.
Lieferung aus: Deutschland, Versandkostenfrei.
Von Händler/Antiquariat, AHA-BUCH GmbH [51283250], Einbeck, Germany.
Neuware - This book presents a selection of chapters, written by leading international researchers, related to the automatic analysis of gestures from still images and multi-modal RGB-Depth image sequences. It offers a comprehensive review of vision-based approaches for supervised gesture recognition methods that have been validated by various challenges. Several aspects of gesture recognition are reviewed, including data acquisition from different sources, feature extraction, learning, and recognition of gestures. 578 pp. Englisch.
Von Händler/Antiquariat, AHA-BUCH GmbH [51283250], Einbeck, Germany.
Neuware - This book presents a selection of chapters, written by leading international researchers, related to the automatic analysis of gestures from still images and multi-modal RGB-Depth image sequences. It offers a comprehensive review of vision-based approaches for supervised gesture recognition methods that have been validated by various challenges. Several aspects of gesture recognition are reviewed, including data acquisition from different sources, feature extraction, learning, and recognition of gestures. 578 pp. Englisch.
3
Gesture Recognition The Springer Series on Challenges in Machine Learning Book Englisch 2017 (2017)
DE HC NW
ISBN: 9783319570204 bzw. 331957020X, in Deutsch, 578 Seiten, Springer-Verlag GmbH, gebundenes Buch, neu.
Lieferung aus: Deutschland, Versandkosten nach: Deutschland, Versandkostenfrei.
Von Händler/Antiquariat, preigu, [5789586].
This book presents a selection of chapters, written by leading international researchers, related to the automatic analysis of gestures from still images and multi-modal RGB-Depth image sequences. It offers a comprehensive review of vision-based approaches for supervised gesture recognition methods that have been validated by various challenges. Several aspects of gesture recognition are reviewed, including data acquisition from different sources, feature extraction, learning, and recognition of gestures. 2017, Gebunden, Neuware, 1057g, 578, sofortueberweisung.de, PayPal, Banküberweisung.
Von Händler/Antiquariat, preigu, [5789586].
This book presents a selection of chapters, written by leading international researchers, related to the automatic analysis of gestures from still images and multi-modal RGB-Depth image sequences. It offers a comprehensive review of vision-based approaches for supervised gesture recognition methods that have been validated by various challenges. Several aspects of gesture recognition are reviewed, including data acquisition from different sources, feature extraction, learning, and recognition of gestures. 2017, Gebunden, Neuware, 1057g, 578, sofortueberweisung.de, PayPal, Banküberweisung.
4
Gesture Recognition The Springer Series on Challenges in Machine Learning Book Englisch 2017 (2017)
DE HC NW
ISBN: 9783319570204 bzw. 331957020X, in Deutsch, 578 Seiten, Springer-Verlag GmbH, gebundenes Buch, neu.
Lieferung aus: Deutschland, Versandkosten nach: Deutschland, Versandkostenfrei.
Von Händler/Antiquariat, Buchbär, [6122477].
This book presents a selection of chapters, written by leading international researchers, related to the automatic analysis of gestures from still images and multi-modal RGB-Depth image sequences. It offers a comprehensive review of vision-based approaches for supervised gesture recognition methods that have been validated by various challenges. Several aspects of gesture recognition are reviewed, including data acquisition from different sources, feature extraction, learning, and recognition of gestures. 2017, Gebunden, Neuware, 1057g, 578, sofortueberweisung.de, PayPal, Banküberweisung.
Von Händler/Antiquariat, Buchbär, [6122477].
This book presents a selection of chapters, written by leading international researchers, related to the automatic analysis of gestures from still images and multi-modal RGB-Depth image sequences. It offers a comprehensive review of vision-based approaches for supervised gesture recognition methods that have been validated by various challenges. Several aspects of gesture recognition are reviewed, including data acquisition from different sources, feature extraction, learning, and recognition of gestures. 2017, Gebunden, Neuware, 1057g, 578, sofortueberweisung.de, PayPal, Banküberweisung.
5
Gesture Recognition
EN NW
ISBN: 9783319570204 bzw. 331957020X, in Englisch, neu.
This book presents a selection of chapters, written by leading international researchers, related to the automatic analysis of gestures from still images and multi-modal RGB-Depth image sequences. It offers a comprehensive review of vision-based approaches for supervised gesture recognition methods that have been validated by various challenges. Several aspects of gesture recognition are reviewed, including data acquisition from different sources, feature extraction, learning, and recognition of gestures.
6
Gesture Recognition (The Springer Series on Challenges in Machine Learning) (2017)
EN HC US FE
ISBN: 9783319570204 bzw. 331957020X, in Englisch, 578 Seiten, Springer, gebundenes Buch, gebraucht, Erstausgabe.
Lieferung aus: Deutschland, Versandfertig in 2 - 3 Werktagen, Versandkostenfrei. Tatsächliche Versandkosten können abweichen.
Von Händler/Antiquariat, BOOKS etc.
Die Beschreibung dieses Angebotes ist von geringer Qualität oder in einer Fremdsprache. Trotzdem anzeigen
Von Händler/Antiquariat, BOOKS etc.
Die Beschreibung dieses Angebotes ist von geringer Qualität oder in einer Fremdsprache. Trotzdem anzeigen
7
Gesture Recognition
EN HC NW
ISBN: 9783319570204 bzw. 331957020X, in Englisch, Springer-Verlag GMBH, gebundenes Buch, neu.
Lieferung aus: Niederlande, zzgl. Versandkosten.
Die Beschreibung dieses Angebotes ist von geringer Qualität oder in einer Fremdsprache. Trotzdem anzeigen
Die Beschreibung dieses Angebotes ist von geringer Qualität oder in einer Fremdsprache. Trotzdem anzeigen
8
Gesture Recognition (2017)
~EN HC NW
ISBN: 9783319570204 bzw. 331957020X, vermutlich in Englisch, gebundenes Buch, neu.
Lieferung aus: Deutschland, Next Day, Versandkostenfrei.
Die Beschreibung dieses Angebotes ist von geringer Qualität oder in einer Fremdsprache. Trotzdem anzeigen
Die Beschreibung dieses Angebotes ist von geringer Qualität oder in einer Fremdsprache. Trotzdem anzeigen
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