Iris region matching for visible-spectrum gaze trackers

Wen Chung Kao*, Shao Ching Lin

*Corresponding author for this work

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

3 Citations (Scopus)

Abstract

The iris region matching would be the core of the visible-spectrum gaze tracker. The design challenge is much more difficult than the one of the traditional infra-ray gaze tracker due to the imperfection of the eye images. In practical application environments, the iris regions on the eye images may be influenced by the reflection light, and the matching process is also affected by the eyelids and wrinkles near the eyes. In this paper, we further improve the fitness function used for iris region matching. The experimental results show that the new one can effectively prevent the matching results from being dominated by the wrong textures near the eyes.

Original languageEnglish
Title of host publication2020 IEEE International Conference on Consumer Electronics, ICCE 2020
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781728151861
DOIs
Publication statusPublished - 2020 Jan
Event2020 IEEE International Conference on Consumer Electronics, ICCE 2020 - Las Vegas, United States
Duration: 2020 Jan 42020 Jan 6

Publication series

NameDigest of Technical Papers - IEEE International Conference on Consumer Electronics
Volume2020-January
ISSN (Print)0747-668X

Conference

Conference2020 IEEE International Conference on Consumer Electronics, ICCE 2020
Country/TerritoryUnited States
CityLas Vegas
Period2020/01/042020/01/06

ASJC Scopus subject areas

  • Industrial and Manufacturing Engineering
  • Electrical and Electronic Engineering

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