• Journal of the Institute of Electronics Engineers of Korea SP
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• v.42 no.1
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• pp.25-31
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• 2005

In this paper, we present a face detection system using the Support Vector Domain Description (SVDD) in color images. Conventional face detection algorithms require a training procedure using both face and non-face images. In SVDD however we employ only face images for training. We can detect faces in color images from the radius and center pairs of SVDD. We also use Entropic Threshold for extracting the facial feature and sliding window for improved performance while saving processing time. The experimental results indicate the effectiveness and efficiency of the proposed algorithm compared to conventional PCA (Principal Component Analysis)-based methods.

• Journal of the Semiconductor & Display Technology
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• v.14 no.2
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• pp.29-34
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• 2015

Traffic lights are common in cities and are important cues for the path planning of intelligent vehicles. In this paper, we propose a robust and efficient algorithm for recognizing traffic lights from video sequences captured by a low cost off-the-shelf camera. Instead of using color information for recognizing traffic lights, a shape based approach is adopted. In learning and detection phase, Histogram of Oriented Gradients (HOG) feature is used and a cascade classifier based on Adaboost algorithm is adopted as the main classifier for locating traffic lights. To decide the color of the traffic light, a technique based on histogram analysis in HSV color space is utilized. Experimental results on several video sequences from typical urban environment prove the effectiveness of the proposed algorithm.

• 한국정보교육학회:학술대회논문집
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• 2010.08a
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• pp.179-184
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• 2010

In current knowledge-based society, various information and communication tools are used in educational fields. Especially web becomes the most popular tool. However, for the disabled, web accessibility is a still main problem to overcome. The purpose of this paper is to improve web accessibility of color blindness by analyzing the educational web sites. The three suggestions for this study are as follows. First, use accent colors other then red or orange. Second, add the black and white conversion feature function on the screen. Third, construct colors of video clips and flash files that are appropriate for people with color blindness.

• Journal of the Korean Vacuum Society
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• v.6 no.4
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• pp.321-325
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• 1997

Recently, photosensitive color filters have received much attention for their use in the liquid crystal display (LCD) industry. It is well known that chemical and physical properties of polymer surfaces can be modified by special surface treatments. In this work, we have studied the polymer surfaces of LCD blue color filters which were exposed to the UV light during photolithography. A better understanding of the irradiated polymer surfaces is required for the subsequent processes such as plasma etching, ITO electrode deposition, etc. The surface analysis has been undertaken using secondary ion mass spectrometry (SIMS), x-ray photoelectron spectroscopy (XPS), and atomic force microscopy (AFM). A significant enrichment of the pigment component and roughening of surface with bubble-like feature have been observed at the modified polymer surface.

• Journal of the Institute of Convergence Signal Processing
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• v.1 no.1
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• pp.42-48
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• 2000

In this paper, we propose the face image recognition algorithm using skin color information, face region features such as eye, nose, and mouse, etc., and geometrical features of chin line. In the proposed algorithm, we used the intensity as well as skin color information in the HSI color coordinate which is similar to human eye system. The experimental results of proposed method shows improved extraction quality of face and provides adaptive extraction methods for the races. And also, we used chin line information as well as geometrical features of face such as eye, nose, mouse information for the improvement of face recognition quality, Experimental results shows the more improved recognition as well as extraction quality than conventional methods.

• Journal of the Korean Society of Clothing and Textiles
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• v.29 no.6
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• pp.793-804
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• 2005

The new paradigm of the 21st century demand an openly different world of formative ideologies in respect to art and design. The purpose of this study is focused on trying to comprehend aesthetic essence of clothing as an, with the investigation of artistic theories manifested by art philosophers. Art to Wear was categorized into style to understand its artistic meaning as well as to analyze its character. Upon the foundation of semiotics theory, the feature of Art to Wear and its analysis category were argued in the context of Charles Morris three dimension of semiotics analysis. The conclusion to the research is like so. The feature and analysis category of Art to Wear upon a semiotics perspective was divided into syntactic dimension, semantic dimension and pragmatic dimension. The analytical categorization upon the perspective of syntactic dimension fell into the category of topology, shape and color. The semantic dimension of Art to Wear was divided into categories of denotation and connotation. In addition, the pragmatic dimension of Art to Wear analytical categorization was divided into a delivering function and common function.

• Proceedings of the Korean Society for Information Management Conference
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• 1999.08a
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• pp.17-20
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• 1999

내용기반 이미지 검색에서는 이미지의 하위 영역을 구분하는 방식에 대하여 다양한 접근이 이루어져 왔다. 그중 한 가지가 Stricker와 Dimai가 제안한, 이미지를 다섯개의 영역으로 나누고 그 가운데 주재 객체가 위치할 것을 가정하여 높은 가중치를 부여하는 방법인데, 본 연구에서는 이와 같은 가정이 타당할 것인가를 S.K. Chang의 PIM(Picture Information Measure) 엔트로피를 계산하여 검증하려 하였다. 실험결과 이미지의 중앙과 그 외부 영역 사이에는 유의미한 차이가 존재하는 것으로 나타났으며, 따라서 Stricker와 Dimai의 방식을 지지할 수 있을 것으로 결론 내릴 수 있다.

• Proceedings of the Korean Society for Emotion and Sensibility Conference
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• 2002.05a
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• pp.20-23
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• 2002

In Japan, deodorizing airflesheners are very popular to make air flesh by deodorizing odor in rooms, toilet as well as inside a car. There are in different features in deodorizing material of Gel and Liquid, in a shape of bottle from tall to low height, in bottle color and so on. These different features will influence the customer's feeling to the products of deodorizing airfleshener. This paper deals with the psychological evaluation of the features of deodorizing airfleshener on the SD scale with kansei words. The evaluated data were analyzed by Quantification Theory Type I that leads to the relational rules between the product feature and the kansei words. The beautiful and graceful kansei consists of low height, middle width deformed round shape, but easy operational feature is based on tall shape design. These results are helpful to develop a new product of deodorizing airfleshener.

• The Journal of Korean Association of Computer Education
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• v.17 no.2
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• pp.107-113
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• 2014

In this study, we design and implement an eye-gaze estimation system based on the extraction of eye contour and pupil region. In order to effectively extract the contour of the eye and region of pupil, the face candidate regions were extracted first. For the detection of face, YCbCr value range for normal Asian face color was defined by the pre-study of the Asian face images. The biggest skin color region was defined as a face candidate region and the eye regions were extracted by applying the contour and color feature analysis method to the upper 50% region of the face candidate region. The detected eye region was divided into three segments and the pupil pixels in each pupil segment were counted. The eye-gaze was determined into one of three directions, that is, left, center, and right, by the number of pupil pixels in three segments. In the experiments using 5,616 images of 20 test subjects, the eye-gaze was estimated with about 91 percent accuracy.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.21 no.2
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• pp.160-166
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• 2020

As mobile-based hardware technology develops, many kinds of applications are also being developed. In addition, there is an increasing demand to automatically check that the interface of these applications works correctly. In this paper, we describe a method for accurately detecting faulty images from applications by comparing major characteristics from input color images. For this purpose, our method first extracts major characteristics of the input image, then calculates the differences in the extracted major features, and decides if the test image is a normal image or a faulty image dissimilar to the reference image. Experiment results show that the suggested approach robustly determines similar and dissimilar images by comparing major characteristics from input color images. The suggested method is expected to be useful in many real application areas related to computer vision, like video indexing, object detection and tracking, image surveillance, and so on.