Language: English
Published by LAP LAMBERT Academic Publishing, 2010
ISBN 10: 3838339118 ISBN 13: 9783838339115
Seller: preigu, Osnabrück, Germany
Taschenbuch. Condition: Neu. Image Analysis for Marker-less Facial Tracking | Robust Face and Facial Feature Tracking Using AFM, AAA, VbTM and Post-processing | Wenlan Yang | Taschenbuch | 64 S. | Englisch | 2010 | LAP LAMBERT Academic Publishing | EAN 9783838339115 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu.
Language: English
Published by LAP LAMBERT Academic Publishing, 2010
ISBN 10: 3838339118 ISBN 13: 9783838339115
Seller: Mispah books, Redhill, SURRE, United Kingdom
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Language: English
Published by LAP LAMBERT Academic Publishing Aug 2010, 2010
ISBN 10: 3838339118 ISBN 13: 9783838339115
Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germany
Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Tracking of facial features is increasingly used in game and film industry as well as for other applications. Most tracking systems are currently using markers which unfortunately are tedious and cumbersome. Marker-less facial tracking is supposed to eliminate the disadvantages of the marker-based approaches. This literature investigates different algorithms for marker-less tracking and presents how to apply them in a robust way. View-based and component sensitive normalized face images can achieve accurate tracking results based on the Active Appearance Algorithm. Post processing the parameters of global motions of the model smoothes the synthesized video sequence. Tacking results for faces and a tool developed for creating training images are also presented. 64 pp. Englisch.
Language: English
Published by LAP LAMBERT Academic Publishing, 2010
ISBN 10: 3838339118 ISBN 13: 9783838339115
Seller: moluna, Greven, Germany
Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Yang WenlanWenlan Yang, MSc: Studied Computer Science at Uppsala University. Facial tracking developer at Imagination Studios AB in 2009, Uppsala, Sweden.Tracking of facial features is increasingly used in game and film indust.
Language: English
Published by LAP LAMBERT Academic Publishing Aug 2010, 2010
ISBN 10: 3838339118 ISBN 13: 9783838339115
Seller: buchversandmimpf2000, Emtmannsberg, BAYE, Germany
Taschenbuch. Condition: Neu. This item is printed on demand - Print on Demand Titel. Neuware -Tracking of facial features is increasingly used in game and film industry as well as for other applications. Most tracking systems are currently using markers which unfortunately are tedious and cumbersome. Marker-less facial tracking is supposed to eliminate the disadvantages of the marker-based approaches. This literature investigates different algorithms for marker-less tracking and presents how to apply them in a robust way. View-based and component sensitive normalized face images can achieve accurate tracking results based on the Active Appearance Algorithm. Post processing the parameters of global motions of the model smoothes the synthesized video sequence. Tacking results for faces and a tool developed for creating training images are also presented.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 64 pp. Englisch.
Language: English
Published by LAP LAMBERT Academic Publishing, 2010
ISBN 10: 3838339118 ISBN 13: 9783838339115
Seller: AHA-BUCH GmbH, Einbeck, Germany
Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Tracking of facial features is increasingly used in game and film industry as well as for other applications. Most tracking systems are currently using markers which unfortunately are tedious and cumbersome. Marker-less facial tracking is supposed to eliminate the disadvantages of the marker-based approaches. This literature investigates different algorithms for marker-less tracking and presents how to apply them in a robust way. View-based and component sensitive normalized face images can achieve accurate tracking results based on the Active Appearance Algorithm. Post processing the parameters of global motions of the model smoothes the synthesized video sequence. Tacking results for faces and a tool developed for creating training images are also presented.