Head Pose Tracking from RGBD Sensor Based on Direct Motion Estimation

Adam Strupczewski, Blazej Czuprynski, Wladyslaw Skarbek, Marek Kowalski, Jacek Naruniec

Abstract: We propose to use a state-of-the-art visual odometry technique for the purpose of head pose estimation. We demonstrate that with small adaptation this algorithm allows to achieve more accurate head pose estimation from an RGBD sensor than all the methods published to date. We also propose a novel methodology to automatically assess the accuracy of a tracking algorithm without the need to manually label or otherwise annotate each image in a test sequence.

External IDs:dblp:conf/premi/StrupczewskiCSK15