scispace - formally typeset
Proceedings ArticleDOI

A Novel Method for Eye Corner Detection Based on Weighted Variance Projection Function

Reads0
Chats0
TLDR
A novel eye corner detection method is presented, which combines Harris's response function with variance projection function, and is capable of detecting a pair of inner and outer eye corners from a complex background.
Abstract
A novel eye corner detection method is presented in this paper. The method is capable of detecting a pair of inner and outer eye corners from a complex background. Faces and eyes are first detected from the image by Adaboost with Haar-like features. Next, the potential area of the eye corner is determined based on variance projection function. In view of the corner characteristics of the eye corner, the weighted variance projection function is proposed to locate the eye corner within the potential area, which combines Harris's response function with variance projection function. The robustness and accuracy of the proposed method are demonstrated in experiment.

read more

Citations
More filters
Journal ArticleDOI

Hybrid method based on topography for robust detection of iris center and eye corners

TL;DR: The algorithm is tested in the BioID database and in a proprietary database containing more than 1200 images and shows that the suggested algorithm is robust and accurate.
Journal ArticleDOI

Evaluation of accurate eye corner detection methods for gaze estimation

TL;DR: This paper proposes novel eye inner corner detection methods based on AAM and Harris corner detector and demonstrates that a method based on a neural network presents the best performance even in light changing scenarios.
Proceedings ArticleDOI

A robust eye-corner detection method for real-world data

TL;DR: This paper describes an eye-corner detection method that emphasizes robustness, i.e., its ability to deal with degraded data, and applicability to real-world conditions and outperforms others in both noise-free and degraded data.
Book ChapterDOI

An efficient iris and eye corners extraction method

TL;DR: The proposed method stems from its reproducibility due to the utilization of simple and efficient image processing methods while achieving remarkable results without any need of training.
Book ChapterDOI

Robust Eye Gaze Estimation

TL;DR: A lighting-adaptive solution for robust eye gaze detection is introduced, a binarization and cropping technique is proposed to limit the region of interest, a gradient-based method is developed for eye-pupil detection, and an adaptive eye-corner detection technique is introduced.
References
More filters
Proceedings ArticleDOI

Rapid object detection using a boosted cascade of simple features

TL;DR: A machine learning approach for visual object detection which is capable of processing images extremely rapidly and achieving high detection rates and the introduction of a new image representation called the "integral image" which allows the features used by the detector to be computed very quickly.
Proceedings ArticleDOI

A Combined Corner and Edge Detector

TL;DR: The problem the authors are addressing in Alvey Project MMI149 is that of using computer vision to understand the unconstrained 3D world, in which the viewed scenes will in general contain too wide a diversity of objects for topdown recognition techniques to work.
Proceedings ArticleDOI

Feature Detection and Tracking with Constrained Local Models

TL;DR: This work shows that when applied to human faces, the constrained local model (CLM) algorithm is more robust and more accurate than the original AAM search method, which relies on the image reconstruction error to update the model parameters.
Journal ArticleDOI

Projection functions for eye detection

TL;DR: The generalized projection function (GPF) is defined and it is shown that IPF, VPF, and HPF are all effective in eye detection, while HPF is better thanVPF, while VPF isbetter than IPF.
Proceedings ArticleDOI

Subpixel eye gaze tracking

TL;DR: New algorithms for detecting the inner eye corner and the center of an iris at subpixel accuracy are presented, and these new methods are applied in developing a real-time gaze tracking system.
Related Papers (5)