A natural head pose and eye gaze dataset

Stylianos Asteriadis, Dimitris Soufleros, Kostas Karpouzis, Stefanos Kollias

Research output: Chapter in Book/Report/Conference proceedingChapterAcademic

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.
Original languageEnglish
Title of host publicationProceedings of the International Workshop on AffectiveAware Virtual Agents and Social Robots AFFINE 09
PublisherACM Press
Pages1-4
Number of pages4
ISBN (Print)9781605586922
DOIs
Publication statusPublished - 2009
Externally publishedYes

Publication series

SeriesProceedings of the International Workshop on AffectiveAware Virtual Agents and Social Robots AFFINE 09
VolumeBoston, MA

Keywords

  • facial feature tracking
  • head pose
  • key words
  • user

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