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Finger-tracking based 3 D Interaction on a Mobile Device with a Monocular Rear Camera

We developed a new AR system that works on a real mobile device and that allows 3D interaction with virtual objects by a user’s finger. Machine learning based method is used to realize precise detection and tracking of a finger. The 3D position of the finger is estimated using the size of the finger in the image and is used for interaction. We implemented an application in which a user can push superimposed buttons with his/her finger, and an application in which a user can flick falling boxes into this system.