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...

Face detection is an important prerequisite step for successful face recognition. Face detection methods reported in the literature are far from perfect and deteriorate ungracefully where lighting conditions cannot be controlled. We propose a method that could potentially outperform state-of-the-art face detection methods in environments with dynamic lighting conditions. The approach capitalize...

Studies have shown that driver fatigue or unpleasant emotions significantly increase driving risks. Detecting and states providing timely warnings can effectively minimize the incidence of traffic accidents. However, existing models rarely combine emotion detection, there is space to improve accuracy recognition. In this paper, we propose a non-invasive efficient detection method for emotional ...

Visual salience detection originated over 500 million years ago and is one of nature’s most efficient mechanisms. In contrast, many state-of-the-art computational saliency models are complex and inefficient. Most saliency models process high-resolution color (HC) images; however, insights into the evolutionary origins of visual salience detection suggest that achromatic low-resolution vision is...

Eye tracking spreads through a vast area of applications from ophthalmology, assistive technologies to gaming and virtual reality. Detection of pupil is the most critical step in many of these tasks hence needs to be performed accurately. Although detection of pupil is a smooth task in clear sight, possible occlusions and odd viewpoints complicate the problem. We present an adaptive pupil bound...

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...

Background: Human Adenovirus species D (HAdV-D) was common human viral pathogen especially in eye infection, consists of several types of which HAdV-D8, -D19 and –D37 were common in eye infection. This study includes detection of HAdV-D types implicated in conjunctivitis based on L2 (Penton protein) gene similarity. Methods: Conjunctival swabs were collected from Keratoconjunctivitis patient...