Accurate eye localization in low and standard definition content

Bart Kroon, Sabri Boughorbel, Alan Hanjalic

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

2 Citations (Scopus)

Abstract

In this paper we address the problem of eye localization in low and standard definition content, such as webcam- generated and TV images. We present a probabilistic eye localization method based on well-known multiscale local binary patterns (LBPs), which provide a simple and pow- erful spatial description of texture, and are robust to the noise typical to low and standard definition content. Our primary contribution is in the proposed method of combin- ing the LBPs that is targeted towards achieving spatial ac- curacy under mentioned conditions. Evaluation performed on a standard dataset of webcam-quality images shows that our approach has superior performance with respect to the state of the art, while having a reasonable complexity and a low memory footprint.

Original languageEnglish
Title of host publication2008 8th IEEE International Conference on Automatic Face and Gesture Recognition, FG 2008
DOIs
Publication statusPublished - 2008
Externally publishedYes
Event2008 8th IEEE International Conference on Automatic Face and Gesture Recognition, FG 2008 - Amsterdam, Netherlands
Duration: 17 Sep 200819 Sep 2008

Other

Other2008 8th IEEE International Conference on Automatic Face and Gesture Recognition, FG 2008
CountryNetherlands
CityAmsterdam
Period17/9/0819/9/08

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ASJC Scopus subject areas

  • Computer Vision and Pattern Recognition
  • Human-Computer Interaction
  • Electrical and Electronic Engineering

Cite this

Kroon, B., Boughorbel, S., & Hanjalic, A. (2008). Accurate eye localization in low and standard definition content. In 2008 8th IEEE International Conference on Automatic Face and Gesture Recognition, FG 2008 [4813382] https://doi.org/10.1109/AFGR.2008.4813382