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3D Gaze Recovery in Large Environments Using Visual SLAM

Contributing authors of JOANNEUM RESEARCH:
Editor*innen:
Pfeiffer, Thies; Essig, Kai
Authors
Paletta, Lucas; Santner, Katrin; Hofmann, Albert; Thallinger, Georg
Abstract:
This work describes a multi-component vision system that enables pervasive map-ping of human attention. The key contribution is that our methodology enables full 3D recovery of the gaze pointer, human view frustum and associated human cen-tered measurements directly into an automatically computed 3D model. We apply RGB-D SLAM and descriptor matching methodologies for the 3D modeling, lo-calization and fully automated annotation of ROIs (regions of interest) within the acquired 3D model. This methodology enables fully automated processing of hu-man attention, without artificial landmarks, in indoor natural environments.
Title:
3D Gaze Recovery in Large Environments Using Visual SLAM
Publikationsdatum
2013

Publikationsreihe

Proceedings
Proceedings of the First International Workshop on Solutions for Automatic Gaze-Data Analysis 2013 (SAGA 2013)
More files and links
Jahr/Monat:
2013

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