%Aigaion2 BibTeX export from Idiap Publications %Tuesday 05 November 2024 07:24:20 PM @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} }