A natural head pose and eye gaze dataset

Asteriadis, S; Soufleros, D; Karpouzis, K; Kollias, S

dc.contributor.author	Asteriadis, S	en
dc.contributor.author	Soufleros, D	en
dc.contributor.author	Karpouzis, K	en
dc.contributor.author	Kollias, S	en
dc.date.accessioned	2014-03-01T02:45:55Z
dc.date.available	2014-03-01T02:45:55Z
dc.date.issued	2009	en
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/32450
dc.subject	Facial feature tracking	en
dc.subject	Head pose	en
dc.subject	User attention estimation	en
dc.subject.other	Data sets	en
dc.subject.other	Eye-gaze	en
dc.subject.other	Facial feature tracking	en
dc.subject.other	Head pose	en
dc.subject.other	User attention	en
dc.subject.other	User attention estimation	en
dc.subject.other	Estimation	en
dc.subject.other	Intelligent robots	en
dc.subject.other	Motion estimation	en
dc.title	A natural head pose and eye gaze dataset	en
heal.type	conferenceItem	en
heal.identifier.primary	10.1145/1655260.1655261	en
heal.identifier.secondary	http://dx.doi.org/10.1145/1655260.1655261	en
heal.identifier.secondary	1655261	en
heal.publicationDate	2009	en
heal.abstract	We present a new dataset, ideal for Head Pose and Eye Gaze Estimation algorithm testings. Our dataset was recorded using a monocular system, and no information regarding camera or environment parameters is offered, making the dataset ideal to be tested with algorithms that do not utilize such information and do not require any specific equipment in terms of hardware. Copyright 2009 ACM.	en
heal.journalName	Proceedings of the International Workshop on Affective-Aware Virtual Agents and Social Robots, AFFINE '09, held during the ICMI-MLMI'09 Conference	en
dc.identifier.doi	10.1145/1655260.1655261	en