The technique proposed in this book for determining robust points of interest to the variation of illumination aims to reduce the time required for the correspondence between images in high definition. The research also indicates a methodology in the format of a conceptual framework, which, based on the theory of situated learning, correlates the educational and technological aspects proper to the context of the development of mobile AR applications. Based on the experiments carried out, it is possible to observe that the technique that uses the robust points represents savings of approximately 70% in the time required for the correspondence between high-definition images.
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Vendeur : BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Allemagne
Taschenbuch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -The technique proposed in this book for determining robust points of interest to the variation of illumination aims to reduce the time required for the correspondence between images in high definition. The research also indicates a methodology in the format of a conceptual framework, which, based on the theory of situated learning, correlates the educational and technological aspects proper to the context of the development of mobile AR applications. Based on the experiments carried out, it is possible to observe that the technique that uses the robust points represents savings of approximately 70% in the time required for the correspondence between high-definition images. 104 pp. Englisch. N° de réf. du vendeur 9786205887349
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Etat : New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Forte ClebersonPhD in Electrical Engineering from Mackenzie Presbyterian University, with sandwich internship at Georgia Institute of Technology, has experience in the area of Computational Multimedia, with emphasis on Augmented Real. N° de réf. du vendeur 852217041
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Taschenbuch. Etat : Neu. This item is printed on demand - Print on Demand Titel. Neuware -The technique proposed in this book for determining robust points of interest to the variation of illumination aims to reduce the time required for the correspondence between images in high definition. The research also indicates a methodology in the format of a conceptual framework, which, based on the theory of situated learning, correlates the educational and technological aspects proper to the context of the development of mobile AR applications. Based on the experiments carried out, it is possible to observe that the technique that uses the robust points represents savings of approximately 70% in the time required for the correspondence between high-definition images.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 104 pp. Englisch. N° de réf. du vendeur 9786205887349
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Taschenbuch. Etat : Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - The technique proposed in this book for determining robust points of interest to the variation of illumination aims to reduce the time required for the correspondence between images in high definition. The research also indicates a methodology in the format of a conceptual framework, which, based on the theory of situated learning, correlates the educational and technological aspects proper to the context of the development of mobile AR applications. Based on the experiments carried out, it is possible to observe that the technique that uses the robust points represents savings of approximately 70% in the time required for the correspondence between high-definition images. N° de réf. du vendeur 9786205887349
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Taschenbuch. Etat : Neu. Robust point identification in augmented reality markers | Proposal of an algorithm for robust point reduction in natural markers and its application in educational activity | Cleberson Forte | Taschenbuch | Englisch | 2023 | Our Knowledge Publishing | EAN 9786205887349 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu Print on Demand. N° de réf. du vendeur 126807379
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