TutAR: Semi-Automatic Generation of Augmented Reality Tutorials for Medical Education

Abstract

With Augmented Reality (AR) on Optical-See-Through-Head-Mounted Displays (OST-HMD), users can observe the real world and computer graphics at the same time. In this work, we present TutAR, a pipeline that semi-automatically creates AR tutorials out of 2D RGB videos. TutAR extracts relevant 3D hand motion from the input video. The derived motion will be displayed as an animated 3D hand relative to the human body and plays synchronously with the motion in the video on an OST-HMD.

Publication
2018 IEEE International Symposium on Mixed and Augmented Reality Adjunct (ISMAR-Adjunct)
Daniel Eckhoff
Daniel Eckhoff
PhD Researcher