%Aigaion2 BibTeX export from Idiap Publications
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@INPROCEEDINGS{Funes_CVPRWP_2012,
                      author = {Funes Mora, Kenneth Alberto and Odobez, Jean-Marc},
                    keywords = {Gaze estimation, Head pose, RGB-D},
                    projects = {Idiap},
                       month = jun,
                       title = {Gaze Estimation From Multimodal Kinect Data},
                   booktitle = {IEEE Conference in Computer Vision and Pattern Recognition, Workshop on Gesture Recognition},
                        year = {2012},
                    location = {Providence, RI, USA},
                        issn = {2160-7508},
                        isbn = {978-1-4673-1610-1},
                         doi = {10.1109/CVPRW.2012.6239182},
                    abstract = {This paper addresses the problem of free gaze estimation under unrestricted head motion. More precisely, unlike previous approaches that mainly focus on estimating gaze towards a small planar screen, we propose a method to estimate the gaze direction in the 3D space. In this context the paper makes the following contributions: (i) leveraging on Kinect device, we propose a multimodal method that
rely on depth sensing to obtain robust and accurate head pose tracking even under large head pose, and on the visual data to obtain the remaining eye-in-head gaze  directional information from the eye image; (ii) a rectification scheme of the image that exploits the 3D mesh tracking, allowing to conduct a head pose free eye-in-head gaze directional estimation; (iii) a simple way of collecting ground truth data thanks to the Kinect device. Results on three users demonstrate the great potential of our approach.},
                         pdf = {https://publications.idiap.ch/attachments/papers/2012/Funes_CVPRWP_2012.pdf}
}