A natural head pose and eye gaze dataset

  • Authors:
  • Stylianos Asteriadis;Dimitris Soufleros;Kostas Karpouzis;Stefanos Kollias

  • Affiliations:
  • National Technical University of Athens, Athens, Greece;National Technical University of Athens, Athens, Greece;National Technical University of Athens, Athens, Greece;National Technical University of Athens, Athens, Greece

  • Venue:
  • Proceedings of the International Workshop on Affective-Aware Virtual Agents and Social Robots
  • Year:
  • 2009

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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.