Abstract
There are two types for AR (Augmented Reality); one is the location-based AR which requires location information, and the other is the vision-based AR which uses image recognition. Moreover, the vision-based AR can be classified into two types; the marker type whose recognition object is characteristic pattern often called the marker and the markerless type whose recognition object is actual objects. The vision-based AR is more popular than the location-based AR because the location-based one has the disadvantage in that the performance depends on the accuracy of sensors like GPS. In the case of the marker-based AR, the thing that exchange the marker is necessary when switching a display content sometimes causes the inconvenience of users’ operability. Therefore we are aiming to realize markerless AR whose recognition object is hand which can express many patterns easily. In this study, we focus on hand shape recognition, the element technology of the markerless AR, and propose a hand shape recognition method which is suitable for the markerless AR. We conducted an evaluation experiment to evaluate the proposed method. Experimental result shows that the proposed method has the effectiveness for the practical use.
