OBBTree: a hierarchical structure for rapid interference detection
SIGGRAPH '96 Proceedings of the 23rd annual conference on Computer graphics and interactive techniques
Distinctive Image Features from Scale-Invariant Keypoints
International Journal of Computer Vision
Scalable Recognition with a Vocabulary Tree
CVPR '06 Proceedings of the 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition - Volume 2
3D point-of-regard, position and head orientation from a portable monocular video-based eye tracker
Proceedings of the 2008 symposium on Eye tracking research & applications
EPnP: An Accurate O(n) Solution to the PnP Problem
International Journal of Computer Vision
A general method for the point of regard estimation in 3D space
CVPR '11 Proceedings of the 2011 IEEE Conference on Computer Vision and Pattern Recognition
Inverse Depth Parametrization for Monocular SLAM
IEEE Transactions on Robotics
Double window optimisation for constant time visual SLAM
ICCV '11 Proceedings of the 2011 International Conference on Computer Vision
FACTS - a computer vision system for 3D recovery and semantic mapping of human factors
ICVS'13 Proceedings of the 9th international conference on Computer Vision Systems
Proceedings of the Symposium on Eye Tracking Research and Applications
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Understanding and estimating human attention in different interactive scenarios is an important part of human computer interaction. With the advent of wearable eye-tracking glasses and Google glasses, monitoring of human visual attention will soon become ubiquitous. The presented work describes the precise estimation of human gaze fixations with respect to its environment, without the need of artificial landmarks in the field of view, and being capable of providing attention mapping onto 3D information. It enables full 3D recovery of the human view frustum and the gaze pointer in a previously acquired 3D model of the environment in real time. The key contribution is that our methodology enables mapping of fixations directly into an automatically computed 3d model. This innovative methodology will open new opportunities for human attention studies during interaction with its environment, bringing new potential into automated processing for human factors technologies.