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Robust fingertip detection in egocentric vision under varying illumination conditions | IEEE Conference Publication | IEEE Xplore

Robust fingertip detection in egocentric vision under varying illumination conditions


Abstract:

Wearable augmented reality (AR) systems have the potential to significantly lower the barriers to accessing information, while leaving the focus of the user's attention o...Show More

Abstract:

Wearable augmented reality (AR) systems have the potential to significantly lower the barriers to accessing information, while leaving the focus of the user's attention on the real world. To reveal their true potential, the human-machine interface is crucial. A touchless point-and-click interface for wearable AR systems may be suitable for use in many real-world applications, but it demands fingertip detection techniques robust enough to cope with cluttered backgrounds and varying illumination conditions. In this paper we propose an approach that, by automatically choosing between color and depth features, allows to detect the hand and then the user's fingertip both in indoor and outdoor scenarios, with or without adequate illumination.
Date of Conference: 29 June 2015 - 03 July 2015
Date Added to IEEE Xplore: 30 July 2015
Electronic ISBN:978-1-4799-7079-7
Conference Location: Turin, Italy

References

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