%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}
}