Precise pointing techniques for handheld augmented reality

Abstract

We propose two techniques that improve accuracy of pointing at physical objects for handheld Augmented Reality (AR). In handheld AR, pointing accuracy is limited by both touch input and camera viewpoint instability due to hand jitter. The design of our techniques is based on the relationship between the touch input space and two visual reference frames for on-screen content, namely the screen and the physical object that one is pointing at. The first technique is based on Shift, a touch-based pointing technique, and video freeze, in order to combine the two reference frames for precise pointing. Contrastingly -without freezing the video-, the second technique offers a precise mode with a cursor that is stabilized on the physical object and controlled with relative touch inputs on the screen. Our experimental results show that our techniques are more accurate than the baseline techniques, namely direct touch on the video and screen-centered crosshair pointing. © 2013 IFIP International Federation for Information Processing.