000200302 001__ 200302
000200302 005__ 20190316235943.0
000200302 037__ $$aCONF
000200302 245__ $$a3D Gaze Tracking and Automatic Gaze Coding from RGB-D Cameras
000200302 269__ $$a2014
000200302 260__ $$c2014
000200302 336__ $$aConference Papers
000200302 520__ $$aGaze is recognised as one of the most important cues for the analysis of the cognitive behaviors of a person such as the attention displayed towards objects or people, their interactions, functionality and causality patterns. In this short paper, we present our investigations towards the development of 3D gaze sensing solutions from consumer RGB-D sensors, including their use for the inference of visual attention in natural dyadic interactions and the resources we have made or will make available to the community.
000200302 6531_ $$acognition
000200302 6531_ $$aGaze estimation
000200302 6531_ $$ahuman behaviour analysis
000200302 6531_ $$aRGB-D
000200302 700__ $$0246045$$g207313$$aFunes Mora, Kenneth Alberto
000200302 700__ $$aOdobez, Jean-Marc$$g161663$$0243995
000200302 7112_ $$cColumbus, Ohio, USA$$aIEEE Conference in Computer Vision and Pattern Recognition, Vision Meets Cognition Workshop
000200302 8564_ $$uhttps://infoscience.epfl.ch/record/200302/files/FunesMora_CVPRW_2014.pdf$$zn/a$$s336563$$yn/a
000200302 909C0 $$xU10381$$0252189$$pLIDIAP
000200302 909CO $$qGLOBAL_SET$$pconf$$ooai:infoscience.tind.io:200302$$pSTI
000200302 937__ $$aEPFL-CONF-200302
000200302 970__ $$aFunesMora_CVPRW_2014/LIDIAP
000200302 973__ $$aEPFL
000200302 980__ $$aCONF