2 research outputs found
Using Haar-like feature classifiers for hand tracking in tabletop augmented reality
We propose in this paper a hand interaction approach
to Augmented Reality Tabletop applications. We detect
the user’s hands using haar-like feature classifiers and
correlate its positions with the fixed markers on the
table. This gives the user the possibility to move, rotate
and resize the virtual objects located over the table
with their bare hands.Postprint (published version