Robust High-Level Video Stabilization for Effective AR Telementoring
Chengyuan Lin, Edgar Rojas-Muñoz, María Eugenia Cabrera, Natalia Sanchez‐Tamayo, Daniel S. Andersen, Voicu S. Popescu, Juan Antonio Barragan Noguera, Ben L. Zarzaur, Pat Murphy, Kathryn Murphy Anderson, Thomas Douglas, Clare E. Griffis, Juan Pablo Wachs · 2019
This poster presents the design, implementation, and evaluation of a method for robust high-level stabilization of mentees first-person video in augmented reality (AR) telementoring. This video is captured by the front-facing built-in camera of an AR headset and stabilized by rendering from a stationary view a planar proxy of the workspace projectively texture mapped with the video feed. The result is stable, complete, up to date, continuous, distortion free, and rendered from the mentee's default viewpoint. The stabilization method was evaluated in two user studies, in the context of number matching and for cricothyroidotomy training, respectively. Both showed a significant advantage of our method compared with unstabilized visualization.