Visual feedback method for Random Access Vision using dynamic gaze direction selection

Abstract

In our study, we propose a gaze direction Random Access Vision method using a resonant mirror and a multi-tap lock-in pixel image sensor that captures arbitrary and multiple gaze directions at each frame. However, in the conventional method, the timing of gaze direction capturing must be integrated into the system in advance, and only the movement of a predetermined gaze direction is possible. In this study, we propose a hi-speed and dynamic gaze direction selection method that dynamically changes the timing of camera shots during measurement and enables visual feedback such as tracking of the captured object through image processing.