In recent years, depth sensors, such as Kinect provides new opportunities for Human-Computer Interaction (HCI).
However, for more universalization of depth sensors in consumer electronics, the cost of the sensors should be
considered. In this paper, we proposed an algorithm for 3D hand localization by two commodity low cost webcams.
Because of the noise produced by the low cost webcams, the depth quality is not very good. Ac-cording to the poor
quality depth map, our algorithm can still to do the 3D hand localization. The proposed algorithm can provides 3D hand localization information for applications, such as interactive 3DTV.
Access to the requested content is limited to institutions that have purchased or subscribe to SPIE eBooks.
You are receiving this notice because your organization may not have SPIE eBooks access.*
*Shibboleth/Open Athens users─please
sign in
to access your institution's subscriptions.
To obtain this item, you may purchase the complete book in print or electronic format on
SPIE.org.
INSTITUTIONAL Select your institution to access the SPIE Digital Library.
PERSONAL Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.