A novel with low complexity gaze point estimation algorithm

Chiao Wen Kao, Bor Jiunn Hwang, Che Wei Yang, Kuo Chin Fan, Chin Pan Huang

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

3 Scopus citations

Abstract

In this paper, a novel with low complexity gaze point estimation algorithm in unaware gaze tracker is proposed which is suitable in normal environment. The experimental results demonstrate our proposed method is feasible and has acceptable accuracy. Besides, the proposed method has less complexity in terms of camera calibration process than traditional method.

Original languageEnglish
Title of host publicationInternational MultiConference of Engineers and Computer Scientists, IMECS 2012
PublisherNewswood Limited
Pages204-208
Number of pages5
ISBN (Print)9789881925114
StatePublished - 2012
Event2012 International MultiConference of Engineers and Computer Scientists, IMECS 2012 - Kowloon, Hong Kong
Duration: 14 Mar 201216 Mar 2012

Publication series

NameLecture Notes in Engineering and Computer Science
Volume2195
ISSN (Print)2078-0958

Conference

Conference2012 International MultiConference of Engineers and Computer Scientists, IMECS 2012
Country/TerritoryHong Kong
CityKowloon
Period14/03/1216/03/12

Keywords

  • Gaze point estimation
  • Unaware gaze tracker
  • Voting scheme

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