• Journal of Fashion Business
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• v.21 no.1
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• pp.58-73
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• 2017

The purpose of this study was to examine the need of the eyelash design area and the changes of an eye image according to eyelash design. Methodology included both a theoretical research and an empirical research. The theoretical research reviewed previous researches and technical books. The empirical research divided eye shapes, complemented the defect of eye shapes, and examined resulting image changes. A mechanical way was performed for treatment because it was more efficient than a manual way. A J-curl type was used. Eye length was divided into five and the point was determined. The length and density of curl were changed in each point to maximize a treatment effect. As a result, eye images were changed as follows. First, round eyes became stable. Slit eyes became vivid and soft. Wide-set eyes became intelligent and narrow-set eyes became smooth. Large eyes were naturally gradated and small eyes became larger. Double-eyelid eyes became stable and elegant and single-eyelid eyes became gentle and soft. Bulging eyes became easy and soft and sunken eyes became smooth. Peaked eyes became gentle and soft and sleepy eyes became strong and vivid. Based on the findings, eyelash design can play a role in changing an image according to eye shapes. In particular, a speed eyelash extension device to extend eyelash can reduce working hours and gradate only by angle control. It can complement the defect of eyes according to the design of each shape and change into a better image.

• 한국정보디스플레이학회:학술대회논문집
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• 2007.08b
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• pp.1799-1802
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• 2007

In the constructed auto-stereoscopic display system for one observer. 1.stereoscopic images displayed on a special LCD are made on a large concave mirror. 2.The view-zone limiting aperture is set between the projection lens and the concave mirror. 3.The real image of the aperture is made at the observer's eye position by the concave mirror. 4.The observer's eye-position tracking of the view-zone is realized. 5.At same time, stereoscopic image changes automatically according to the eye position of the observer.

• The Journal of the Korea Contents Association
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• v.14 no.11
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• pp.7-15
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• 2014

This paper proposed a recognition algorithm of human facial expressions using the PCA and the template matching. Firstly, face image is acquired using the Haar-like feature mask from an input image. The face image is divided into two images. One is the upper image including eye and eyebrow. The other is the lower image including mouth and jaw. The extraction of facial components, such as eye and mouth, begins getting eye image and mouth image. Then an eigenface is produced by the PCA training process with learning images. An eigeneye and an eigenmouth are produced from the eigenface. The eye image is obtained by the template matching the upper image with the eigeneye, and the mouth image is obtained by the template matching the lower image with the eigenmouth. The face recognition uses geometrical properties of the eye and mouth. The simulation results show that the proposed method has superior extraction ratio rather than previous results; the extraction ratio of mouth image is particularly reached to 99%. The face recognition system using the proposed method shows that recognition ratio is greater than 80% about three facial expressions, which are fright, being angered, happiness.

• JSTS:Journal of Semiconductor Technology and Science
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• v.12 no.2
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• pp.150-161
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• 2012

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 transform(MCT) to detect eyes on a face image. We parallelize part of the algorithm to speed up processing. Several downscaled pyramid images of the eye candidate region are generated in parallel using the input face image. We can detect the left and the right eye simultaneously using these downscaled images. The sequential data processing bottleneck caused by repetitive operation is removed by employing a pipelined parallel architecture. The proposed architecture is designed using Verilog HDL and implemented on a Virtex-5 FPGA for prototyping and evaluation. The proposed system can detect eyes within 0.15 ms in a VGA image.

• Journal of information and communication convergence engineering
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• v.3 no.2
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• pp.110-113
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• 2005

An enhancement of tracking capacity for the centering position of eye and iris on the facial image is presented. A facial image is acquisitioned with a CCD camera to be converted into a binary image. The eye region to be a specified brightness and shapes is used the FRM method using the neighboring five mask areas, and the iris on the eye is tracked with FPDP method. The experimental result shows that the proposed methods lead the centering position tracking capability to be enhanced than the pixel average coordinate values method.

• International Journal of Control, Automation, and Systems
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• v.6 no.6
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• pp.828-835
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• 2008

We present a novel method for eye location by means of a two-level classifier scheme. Locating the eye by machine-inspection of an image or video is an important problem for Computer Vision and is of particular value to applications in biomedical imaging. Our method aims to overcome the significant challenge of an eye-location that is able to maintain high accuracy by disregarding highly variable changes in the environment. A first level of computational analysis processes this image context. This is followed by object detection by means of a two-class discrimination classifier(second algorithmic level).We have tested our eye location system using FERET and BioID database. We compare the performance of two-level classifier with that of non-level classifier, and found it's better performance.

• Journal of Multimedia Information System
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• v.5 no.2
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• pp.83-86
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• 2018

Owing to high speed internet technologies, video conferencing systems are exploited in our home as well as work places using a laptop or a webcam. Although eye contact in the video conferencing system is significant, most systems do not support good eye contact due to improper locations of cameras. Several ideas have been proposed to solve the eye contact problem; however, some of them require complicated hardware configurations and expensive customized hardwares. In this paper, we propose a simple eye gaze correction method using the three-dimensional (3D) affine transformation. We also apply an image in-painting method to fill empty holes that are caused by round-off errors from the coordinate transformation. From experiments, we obtained visually improved results.

• Journal of the Korea Fashion and Costume Design Association
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• v.7 no.1
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• pp.77-84
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• 2005

The purpose of this study is to know on the changes characteristics of eye brow forms of the wester women. A facial image which people recognize contents on changes of image according to various eye brow changes on the face. Various changes of image were seen by length, angle and thickness of eye brow types. The ancient Egyptians used antimony powder to blacken their brows huge black lines. In medieval times, women shaved both their eye brows and their hairlines to give a pure look. The early nineteenth century, brows were untweezed and natural. In the 1920s, when women started paying attention to their faces and their freedom, brows were tweezed, narrowed. In the 1930s, the idealized faces of Jean Harlow, Marlene Dietrich and Greta Garbo - narrow tracery of drawn on brows. The eyebrows is filled various shape of the 1950s. In the 1970s, the Disco Decade of Dreadful tastes, women were at their tweezers again, manicuring their brows. Brooke Shields's natural-looking brow would be an example of the 1980s. In the 1990s, the eyebrow designed by superstar makeup artists who determined the look of fashion model and screen star.

• The Journal of the Korea Contents Association
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• v.7 no.1
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• pp.48-57
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• 2007

Eye localization is necessary for face recognition and related application areas. Most of eye localization algorithms reported thus far still need to be improved about precision and computational time for successful applications. In this paper, we propose an improved eye localization method based on multi-scale Gator feature vector models. The proposed method first tries to locate eyes in the downscaled face image by utilizing Gabor Jet similarity between Gabor feature vector at an initial eye coordinates and the eye model bunch of the corresponding scale. The proposed method finally locates eyes in the original input face image after it processes in the same way recursively in each scaled face image by using the eye coordinates localized in the downscaled image as initial eye coordinates. Experiments verify that our proposed method improves the precision rate without causing much computational overhead compared with other eye localization methods reported in the previous researches.

• Journal of KIISE:Computing Practices and Letters
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• v.15 no.7
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• pp.520-523
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• 2009

There are many ways to judge whether the input image is adult-image or not. Until now, adult image detection has been examined by the ratio of skin area in full image. In this paper, we propose a method to extract skin region in YCbCr. Skin region shows unique distribution in YCbCr, and we will separate the skin region from background using the distribution. First, we are going to find Eye zone using Eye-Map. Then we will find out the color value for the distribution of skin region using the color of Eye zone. Next, we will find the distribution of the area through the skin region in full-image.