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- W2384395410 abstract "Since human beings interact with the world mainly by their hands, introducing hands operations will provide them with very natural operation experience in wearable augmented reality systems. Traditional hands recognition techniques, on one hand, are not applied in wearable augmented reality settings, and have different parallaxes in different environments. On the other hand, they usually focus on only the 2D information, neglecting the depth information. This paper implements a real-time hands recognition system by considering the depth, in addition to the traditional color model." @default.
- W2384395410 created "2016-06-24" @default.
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- W2384395410 date "2014-01-01" @default.
- W2384395410 modified "2023-09-26" @default.
- W2384395410 title "Hand recognition method based on color and depth information from first-person view" @default.
- W2384395410 hasPublicationYear "2014" @default.
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