Estimation of gazing points in environment using eye tracker and omnidirectional camera

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Citations (Scopus)

Abstract

In this work, we propose a method for estimating the user's gazing point in the environment using images taken by an eye tracker and an omnidirectional camera. The proposed method estimates the eye positon in environment by mapping the gazing point obtained by the eye tracker in the omnidirectional camera image. However, matching the omnidirectional image and the eye tracker image is difficult because the omnidirectional image is distorted by equirectangular projection. Therefore, we propose a method for estimating eye location in the omnidirectional image by matching the eye tracker image to the omnidirectional image with considering the distortion. Specifically, this method repeats image matching and image conversion using the matching results.

Original languageEnglish
Title of host publication2015 IEEE International Conference on Consumer Electronics - Taiwan, ICCE-TW 2015
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages47-48
Number of pages2
ISBN (Electronic)9781479987443
DOIs
Publication statusPublished - 2015 Aug 20
Event2nd IEEE International Conference on Consumer Electronics - Taiwan, ICCE-TW 2015 - Taipei, Taiwan, Province of China
Duration: 2015 Jun 62015 Jun 8

Publication series

Name2015 IEEE International Conference on Consumer Electronics - Taiwan, ICCE-TW 2015

Other

Other2nd IEEE International Conference on Consumer Electronics - Taiwan, ICCE-TW 2015
CountryTaiwan, Province of China
CityTaipei
Period15/6/615/6/8

Keywords

  • Cameras
  • Distortion
  • Estimation
  • Eyebrows
  • Image matching
  • Lenses
  • Mathematical model

ASJC Scopus subject areas

  • Artificial Intelligence
  • Computer Networks and Communications
  • Electrical and Electronic Engineering
  • Instrumentation
  • Media Technology

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