Search research articles

ABOUT JoVE

Overview Leadership Blog JoVE Help Center

AUTHORS

Publishing Process Editorial Board Scope & Policies Peer Review FAQ Submit

LIBRARIANS

Testimonials Subscriptions Access Resources Library Advisory Board FAQ

RESEARCH

JoVE Journal Methods Collections JoVE Encyclopedia of Experiments Archive

EDUCATION

JoVE Core JoVE Business JoVE Science Education JoVE Lab Manual Faculty Resource Center Faculty Site

Terms & Conditions of Use

Related Concept Videos

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by

Same author

Response to the Letter to the Editor Regarding "Comparative Evaluation of Risk Scores for Predicting Postoperative Pulmonary Complications".

Respiratory care·2026

Same author

<i>Angelica dahurica</i>-derived carbon dots as a sensitive fluorescent probe for Fe<sup>3+</sup>: investigation of quenching mechanism and ascorbic acid-induced fluorescence recovery.

Optics express·2026

Same author

[Research progress in mechanisms of Tripterygium wilfordii and its active ingredients in treatment of inflammatory bowel disease].

Zhongguo Zhong yao za zhi = Zhongguo zhongyao zazhi = China journal of Chinese materia medica·2026

Same author

Advances in Fish Gene Editing.

Animals : an open access journal from MDPI·2026

Same author

The impact of magnesium sulfate administration on outcomes in ICU patients with acute myocardial infarction: a retrospective cohort study.

Frontiers in pharmacology·2026

Same author

Sonodynamic-enhanced programming of semi-metallic networks to trigger spin state renormalization for efficient acidic water oxidation.

Journal of colloid and interface science·2026

Same journal

RETRACTION: Real-Time Modulation of Physical Training Intensity Based on Wavelet Recursive Fuzzy Neural Networks.

Computational intelligence and neuroscience·2026

Same journal

RETRACTION: Multidimensional Heterogeneous Network Link Adaptation Based on Mobile Environment.

Computational intelligence and neuroscience·2026

Same journal

RETRACTION: Framework to Segment and Evaluate Multiple Sclerosis Lesion in MRI Slices Using VGG-UNet.

Computational intelligence and neuroscience·2026

Same journal

RETRACTION: Facial Emotion Recognition Using a Novel Fusion of Convolutional Neural Network and Local Binary Pattern in Crime Investigation.

Computational intelligence and neuroscience·2026

Same journal

RETRACTION: Automatic Intelligent System Using Medical of Things for Multiple Sclerosis Detection.

Computational intelligence and neuroscience·2026

Same journal

RETRACTION: Intangible Cultural Heritage Reproduction and Revitalization: Value Feedback, Practice, and Exploration Based on the IPA Model.

Computational intelligence and neuroscience·2026

See all related articles

Search research articles

Related Experiment Video

Updated: Mar 31, 2026

A Methodology for Capturing Joint Visual Attention Using Mobile Eye-Trackers

A Methodology for Capturing Joint Visual Attention Using Mobile Eye-Trackers

Published on: January 18, 2020

An Efficient Robust Eye Localization by Learning the Convolution Distribution Using Eye Template.

Xuan Li¹, Yong Dou¹, Xin Niu¹

¹Science and Technology on Parallel and Distributed Processing Laboratory, School of Computer, National University of Defense Technology, Changsha 410073, China.

Computational Intelligence and Neuroscience

|October 28, 2015

Summary

This summary is machine-generated.

This study introduces a new eye localization method using a single convolution layer and BP network. It achieves high accuracy with fast prediction and minimal training, overcoming common challenges in facial analysis.

More Related Videos

Using Eye-tracking to Assess the Relative Importance of Visual and Vestibular Input to Subcortical Motion Processing in the Roll Plane

Using Eye-tracking to Assess the Relative Importance of Visual and Vestibular Input to Subcortical Motion Processing in the Roll Plane

Published on: August 22, 2025

How to Build a Dichoptic Presentation System That Includes an Eye Tracker

How to Build a Dichoptic Presentation System That Includes an Eye Tracker

Published on: September 6, 2017

Related Experiment Videos

Last Updated: Mar 31, 2026

A Methodology for Capturing Joint Visual Attention Using Mobile Eye-Trackers

A Methodology for Capturing Joint Visual Attention Using Mobile Eye-Trackers

Published on: January 18, 2020

Using Eye-tracking to Assess the Relative Importance of Visual and Vestibular Input to Subcortical Motion Processing in the Roll Plane

Using Eye-tracking to Assess the Relative Importance of Visual and Vestibular Input to Subcortical Motion Processing in the Roll Plane

Published on: August 22, 2025

How to Build a Dichoptic Presentation System That Includes an Eye Tracker

How to Build a Dichoptic Presentation System That Includes an Eye Tracker

Published on: September 6, 2017

Area of Science:

Computer Vision
Biometric Analysis
Machine Learning

Background:

Eye localization is crucial for facial analysis but faces challenges like varying illumination, pose, and occlusion.
Existing methods struggle to balance high accuracy, prediction speed, and low training costs simultaneously.

Purpose of the Study:

To propose a novel and efficient eye localization approach.
To achieve robust performance in challenging facial analysis scenarios.
To reduce computational resources and training time for eye localization.

Main Methods:

The proposed method utilizes a single-layer convolution map derived from an eye template.
A Backpropagation (BP) neural network is employed for the eye localization task.
The approach focuses on optimizing for both accuracy and speed.

Main Results:

The method demonstrated high accuracy, achieving 98% on the BioID dataset and 96% on the LFPW dataset.
A prediction rate of 10 frames per second (fps) was achieved.
Training time was significantly reduced to only 15 minutes.

Conclusions:

The novel eye localization approach is robust to various challenging conditions in facial analysis.
It offers a competitive alternative to existing models, providing comparable accuracy with substantially reduced training time and enhanced prediction speed.