Using Haar-like feature classifiers for hand tracking in tabletop augmented reality
Document typeConference report
Rights accessOpen Access
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.
CitationAlves, B.; Fernandez, J. Using Haar-like feature classifiers for hand tracking in tabletop augmented reality. A: Symposium on Virtual and Augmented Reality. "Symposium on Virtual and Augmented Reality". Natal: 2010, p. 6-13.