In this work we propose a simple yet effective face detector that combines several face/eye detectors that possess different characteristics. Specifically, we report an extensive study for combining face/eye detectors that results in a final system we call FED that combines three face detectors that extract regions of candidate faces from an image with two approaches for eye detection: the enha...

Recently, some video-based eye-gaze detection methods used in eye-slaved support systems for the severely disabled have been studied. In these methods, infrared light was irradiated to an eye, two feature areas (the corneal reflection light and pupil) were detected in the image obtained from a video camera and then the eye-gaze direction was determined by the relative positions between the two....

Eye detection is widely used in applications, such as face recognition, driver behavior analysis, and human-computer interaction. However, it is difficult to achieve real-time performance with software-based eye detection in an embedded environment. In this paper, we propose a parallel hardware architecture for real-time eye detection. We use the AdaBoost algorithm with modified census transfor...

We present an approach to detect eyes in color images. First of all, RGB facial image is converted to YCbCr one. According to YCbCr facial image, the proposed algorithm constructs two EyeMaps, one map from luminance component (EyeMapL) and the other from chrominance components (EyeMapC). When the two separate EyeMaps are constructed, we combine them to make final EyeMap. We use final EyeMap to ...

Automatic recovery of eye gestures from image sequences is one of the important topics for face recognition and model-based coding of videophone sequences. Usually complicated models of the eye and its motion are used. In this contribution an eye gesture parameter estimation is described. A previously published automatic eye detection/tracking algorithm, based on template matching, is used for ...

As face recognition and facial feature based human computer interaction have become the subjects of intense focus in recent decades, facial feature extraction has emerged as a challenging task in the field of computer vision. Eye is said to be the most salient feature on face because of its versatility of appearance and expression variety. Various eye detection schemes are proposed in the liter...

In this paper, we describe a robust and adaptive method to automatically detect and correct red-eye effect in digital photographs. It improves the existing iris pair detection approaches by introducing a novel process of tuning eye candidate points which is followed by robust iris pair selection among the tuned candidates. Finally, a novel and highly effective redeye correction process is appli...

This paper proposes an algorithm to estimate gaze direction without on-site calibration even when the position of the head relative to the camera moves. We define eye direction as geometrical direction of the eyeball and gaze direction as long fixed looking detection in this paper. In the algorithm to detect the eye direction, a cornea curvature center is detected based on a relation model betw...

Blinking is a spontaneous or voluntary action of human eyes. It has long been used for human-machine communication and human physiological detection. In these applications, detecting the eye’s states, opened or closed, is an important step and affects the accuracy of detecting human intention or physiological states. In this paper, we present a robust method to detect eye blink based on the int...

Methods: A computerized dichoptic perimeter enabled separate stimuli to be presented to each eye of 7 bioptic users and7nonusers.Thebioptic ring scotomawasmapped by presenting the stimulus to the telescope eye only. Detection tests were then conducted under binocular viewing, with stimuli presented only to the fellow eye in a 2 2 2 design with or without telescope, on plain gray or patterned (s...