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This work describes a computer vision system that enables pervasive mappingand monitoring of human attention. The key contribution is that our methodologyenables full 3D recovery of the gaze pointer, human view frustum and associatedhuman centered measurements directly into an automatically computed 3D model inreal-time. We apply RGB-D SLAM and descriptor matching methodologies for the 3Dmodeling, localization and fully automated annotation of ROIs (regions ofinterest) within the acquired 3D model. This innovative methodology will opennew avenues for attention studies in real world environments, bringing newpotential into automated processing for human factors technologies.

An Integrated System for 3D Gaze Recovery and Semantic Analysis of Human Attention