• Proceedings of the IEEK Conference
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• 2001.06c
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• pp.217-220
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• 2001

The detection of face in color images is important for many multimedia applications. It is the first step for face recognition and ran be used for classifying specific shots. In this paper describes a new method to detect faces in color images based on the skin color and hair color. In the first step of the processing, regions of the human skin color and head color are extracted and those regions are found by their color information. Then we converted binary scale from the image. Then we are connected regions in a binary image by label. In the next step we are found regions of interesting by their region information and some conditions.

• Journal of Korea Multimedia Society
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• v.18 no.9
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• pp.1019-1026
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• 2015

In this paper, we propose a new method of eye, face, and lip makeup techniques on the target face image from several makeup examples without losing detail features such as eyelids, eyebrows, hair. After detection of the feature layer for the skin, we applied our makeup techniques to the target face by using a blending technique. We used a cartoon rendering using bilateral filter. In order to smoothly makeup the target face, we created two Gaussian Weight maps for natural skin makeup effects. Our method did not need to perform complex operations, so the makeup results are so natural. Our experimental results show good performances in various makeups.

• Proceedings of the Korean Society of Plant Pathology Conference
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• 2003.10a
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• pp.143.2-143
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• 2003

A rapid and sensitive assay for the specific detection of plant viroids using reverse transcription-polymerase chain reaction(RT-PCR) has been developed already. The nested RT-PCR assay cloud be applied for the detection of apple scar skin viroid(ASSVd) from young leaves and other tissues. ASSVd has central conserved region(CCR), terminal left(T$\sub$L/) and terminal right(T$\sub$R/) domain. Primers were designed from these regions. Primer sets were successfully applicable for the amplification of full length or partial region of ASSVd by nested RT-PCR. Nested RT-PCR assay was more sensitive and accurate method to detect ASSVd from young trees during the early time of apple cultivation.

• Proceedings of the IEEK Conference
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• 2002.07b
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• pp.1252-1255
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• 2002

In this paper, face recognition algorithm, by using skin color information of HSI color coordinate collected from face images, elliptical mask, fratures of face including eyes, nose and mouth, and geometrical feature vectors of face and facial angles, is proposed. The proposed algorithm improved face region extraction efficacy by using HSI information relatively similar to human's visual system along with color tone information about skin colors of face, elliptical mask and intensity information. Moreover, it improved face recognition efficacy with using feature information of eyes, nose and mouth, and Θ1(ACRED), Θ2(AMRED) and Θ 3(ANRED), which are geometrical face angles of face. In the proposed algorithm, it enables exact face reading by using color tone information, elliptical mask, brightness information and structural characteristic angle together, not like using only brightness information in existing algorithm. Moreover, it uses structural related value of characteristics and certain vectors together for the recognition method.

• Proceedings of the Korean Society of Computer Information Conference
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• 2012.01a
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• pp.201-204
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• 2012

본 논문에서는 입력되는 스테레오 영상으로부터 3차원의 깊이 특징과 색상 특징을 결합하여 피부색상 영역을 보다 정확하게 검출하는 방법을 제안한다. 본 논문에서 제안된 방법은 우선 스테레오 정합 기법을 이용하여 좌우 영상으로부터 3차원의 깊이 특징을 추출한다. 그런 다음, 유사한 깊이 특징을 가지는 영역을 그룹화하고, 그룹화된 영역 중에서 피부색상을 나타내는 영역을 실제 피부영역이라고 판단한다. 실험에서는 2차원 위주의 기존의 피부영역 추출 방법과 제안된 방법의 성능을 정확도 측면에서 평가하였다. 결과적으로 제안된 방법은 3차원의 깊이 정보와 색상 정보를 효과적으로 결합함으로써 배경 영역에서 부정확하게 검출되는 피부영역 추출 오류를 상당수 제거하는 효과를 가진다.

• Journal of Industrial Technology
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• v.29 no.A
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• pp.47-54
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• 2009

In this paper, we proposed hand detection and hand gesture recognition from USB camera video. Firstly, we extract hand region extraction using skin color information from a difference images. Background image is initially stored and extracted from the input images in order to reduce problems from complex backgrounds. After that, 16-directional chain code sequence is computed from the tracking of hand motion. These chain code sequences are compared with pre-trained models using DP matching. Our hand gesture recognition system can be used to control PowerPoint slides or applied to multimedia education systems. We got 92% hand region extraction accuracy and 82.5% gesture recognition accuracy, respectively.

• The Transactions of the Korean Institute of Electrical Engineers B
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• v.49 no.1
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• pp.9-14
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• 2000

When current flows through a thick conductor such, most of the current flows along outside of the conductor, which is called skin effect. This paper represents a method calculating such a current distribution in the conductor region. The conductor region is divided into some pieces and each piece has its own unknown variable, i.e. current density. The governing equation which expresses Maxwell's equation is combined with the circuit equation with voltage source. The combined equation is solved to obtain current distribution in the conductor. This algorithm is applied to EMC(Electromagnetic Casting) to calculate current density with voltage source.

• Korean Journal of Head & Neck Oncology
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• v.13 no.1
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• pp.86-89
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• 1997

Neurofibromatosis, now termed neurofibromatosis type I, is known as a congenital and familial disease presenting abnormalities of the skin, nervous system, bones, and soft tissue. We experienced a case of extremely large neurofibromatosis which developed on the orbital and temporal region of a 24-year-old man. The tumor was widely excised including normal skin margin, outer table of cranium, a part of zygoma and maxilla. Bony defect was reconstructed by rib bone graft and secondary cosmetic correction of blepharoptosis was performed using supratarsal fixation in postoperative 6 months.

• Journal of Advanced Navigation Technology
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• v.15 no.4
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• pp.672-679
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• 2011

In this paper, detection algorithm of face region based on skin color of in the TV images is proposed. In the first, reference image is set to the sampled skin color, and then the extracted of face region is candidated using the Euclidean distance between the pixels of TV image. The eye image is detected by using the mean value and standard deviation of the component forming color difference between Y and C through the conversion of RGB color into CMY color model. Detecting the lips image is calculated by utilizing Q component through the conversion of RGB color model into YIQ color space. The detection of the face region is extracted using basis of knowledge by doing logical calculation of the eye image and lips image. To testify the proposed method, some experiments are performed using front color image down loaded from TV color image. Experimental results showed that face region can be detected in both case of the irrespective location & size of the human face.

• Proceedings of the KIEE Conference
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• 2006.04a
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• pp.39-41
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• 2006

It is important to estimate the hand skin temperature because it reveals not only physiological properties of a certain diseases but also it can estimate even human mental-stress conditions. In this study, we try to estimate the temporal skin temperature distribution of human hand by applying stress-cold test to possibly apply to estimate a subject's blood circulation condition in his or her hand in terms of normal or abnormal state.