Structured Light Speckle: Joint Ego-Centric Depth Estimation and Low-Latency Contact Detection via Remote Vibrometry
Paul Streli, Jiaxi Jiang, Juliete Rossie, Christian Holz
Abstract
Despite advancements in egocentric hand tracking using head-mounted cameras, contact detection with real-world objects remains challenging, particularly for the quick motions often performed during interaction in Mixed Reality. In this paper, we introduce a novel method for detecting touch on discovered physical surfaces purely from an egocentric perspective using optical sensing. We leverage structured laser light to detect real-world surfaces from the disparity of reflections in real-time and, at the same time, extract a time series of remote vibrometry sensations from laser speckle motions. The pattern caused by structured laser light reflections enables us to simultaneously sample the mechanical vibrations that propagate through the user’s hand and the surface upon touch.