• 정보처리학회논문지B
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• 제10B권6호
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• pp.711-718
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• 2003

얼굴 인식 시스템과 표정인식 시스템과 같은 고차원 처리를 수행하는 시스템의 전처리 과정으로써 이미지 영역 내에서 얼굴을 추적하는 것은 중요한 과정이다. 본 논문에서는 피부색과 얼굴의 형태 정보를 단서로 하는 CONDENSATION 알고리즘을 사용하여 얼굴의 위치를 추적하였다. 컬러의 가중치와 형태의 가중치를 결합시키는데 어려움이 있으므로 각각을 단서로 사용하는 두 개의 추적기를 가진 시스템을 제안한다. 제안된 시스템은 복잡한 배경, 피부색의 물체가 이미지 내에 존재하는 경우, 다른 얼굴이 이미지 내에 존재하는 경우 모두에 대해서 훌륭한 성능을 보여 주었다.

• 제어로봇시스템학회:학술대회논문집
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• 제어로봇시스템학회 2002년도 ICCAS
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• pp.100.3-100
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• 2002

This paper presents the method for detection and tracking of multiple humans robustly in mobile platform. The perception of human is performed in real time through the processing of images acquired from a moving stereo vision system. We performed multi-cue integration such as human shape, skin color and depth information to detect and track each human in moving background scene. Human shape is measured by edge-based template matching on distance transformed image. Improving robustness for human detection, we apply the human face skin color in HSV color space. And we could increase the accuracy and the robustness in both detection and tracking by applying random sampling stochastic estimati...

• 정보처리학회논문지B
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• 제13B권3호
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• pp.283-294
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• 2006

본 논문은 Haar 웨이블릿 특징과 피부색 정보를 이용한 실시간 얼굴 검출 및 추적 방법을 제안한다. 검출과 추적이 각기 다른 특징들을 이용해 이루어졌던 기존 방법과는 달리 본 논문에서는 피부색 정보와 Haar 웨이블릿 특징을 검출과 추적에 동시에 이용하고 두 특징들을 효과적으로 융합함으로써 빠르고 강인한 추적을 가능하게 한다. 제안된 방법은 검출과 추적에 동일한 특징을 이용함에도 불구하고 표본화에 기반을 둔 Condensation 알고리즘의 특징으로 인해 검출 방법만을 적용했을 때 검출하지 못하는 얼굴의 회전이나 가려짐 등의 문제를 효과적으로 해결한다. 특히, 얼굴의 위치와 함께 크기 변화를 효과적으로 추적하기 때문에 얼굴의 위치 및 크기를 정확하게 알아야 하는 얼굴 인식이나 표정인식 등의 다양한 어플리케이션에 이용되기에 용이하다. 제안된 방법은 복잡한 배경 및 다양한 얼굴 자세 등의 변화에 대한 테스트를 통해 효율성을 검증한다.

• 한국의류학회지
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• 제42권1호
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• pp.121-132
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• 2018

Recent beauty trends focus on suitability to individual features. A personal color system is a recent aesthetic concept that influences color make up and coordination. However, a personal color concept has several weaknesses. For example, type classification is qualitative and not quantitative because its measuring system is a sensory test with no industry standard of personal color system. A quantitative personal color type classification model is the purpose of this study, which can be a solution to above problems. This model is a kind of mapping system in a 3D Cartesian coordinate system which has own axes, Value, Saturation, and Yellowness. The cheek color of the individual sample is also independent variable and personal color type is a dependent variable. In order to construct the model, this study conducted a colorimetric survey on a 993 sampling frequency of Korean women in their 20s and 30s. The significance of this study is as follows. First, through this study, personal color system is established on quantitative color space; in addition, the model has flexibility and scalability because it consisted of independent axis that allows for the inclusion of any other critical variable in the form of variable axis.

• 한국멀티미디어학회논문지
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• 제19권8호
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• pp.1225-1235
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• 2016

This paper presents a method for computer-assisted slide presentation using vision-based gesture recognition. The proposed method consists of a sequence of steps, first detecting a hand in the scene of projector beam, then estimating the smooth trajectory of a hand or a pointing finger using Kalman Filter, and finally interfacing to an application system. Additional slide navigation control includes moving back and forth the pages of the presentation. The proposed method is to help speakers for an effective presentation with natural improved interaction with the computer. In particular, the proposed method of using finger pointing is believed to be more effective than using a laser pointer since the hand, the pointing or finger are more visible and thus can better grab the attention of the audience.

• 한국정보과학회논문지:소프트웨어및응용
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• 제29권11호
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• pp.809-817
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• 2002

본 논문은 온라인 얼굴 인식에서 전처리에 해당하는 얼굴 검출방법을 다룬다. 기존의 얼굴 검출 방법에서 에지 정보만을 이용한 얼굴 검출 방법과 컬러 정보를 이용한 얼굴 검출 방법의 단점을 상호 보완하기 위해 본 연구에서는 에지 정보와 컬러 정보를 결합한 얼굴 검출 방법 및 중심 영역 컬러 샘플링을 이용한 얼굴 검출방법을 개발하였다. 즉, 사람의 얼굴 영역이 비슷한 컬러를 가진 배경 영역과 결합(Merge)되는 것을 막기 위해 먼저 적응형 에지 검출 알고리즘을 수행하여 배경과 얼굴 영역을 각각의 고립 영역으로 분할한다. 제안된 적응형 소벨(Sobel) 에지 검출기는 배경 영역과 얼굴 영역의 경계에서 항상 에지가 발생할 수 있도록 에지가 많이 검출되고 입력 영상의 밝기 변화에 강인하다. 이로 인해 얼굴 영역이 하나의 영역이 아닌 여러 영역으로 분할되어 나타날 수 있으므로, 각 영역들의 컬러 정보를 이용해 병합한 후, 최종 얼굴 영역을 MBR(minimum bounding rectangle) 형태로 검출하였다. 이때 병합된 최종 얼굴 영역 후보가 너무 크거나 혹은 너무 작으면, 중심 영역 샘플링 방법을 이용해 다시 얼굴 영역을 검출한다. 총 2100장의 얼굴 영상 데이터베이스를 통해 실험한 결과 본 연구에서 제안한 방법을 사용해 96.3%의 높은 얼굴 영역 검출 성공률을 얻을 수 있었다.

• Asian Pacific Journal of Cancer Prevention
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• 제13권10호
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• pp.5011-5017
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• 2012

Background: Overexposure to sunlight in childhood and the adolescent period and associsated sunburns significantly increase the risk of skin cancer in adulthood. In Turkey, the incidence of skin cancer in the general population is 0.8%. The incidence is 0.6% and the mortality rate is 0.4% for men, while these rates are 1.0% and 0.7%, respectively, for women. If skin cancer is found early, its treatment is facilitated. Therefore, personal skin examination is important for early diagnosis. Objectives: Our aim was to determine the effects of training for raising consciousness among adolescents to protect against skin cancer by influencing skin self examination behavior. Method: This quasi experimental intervention study was conducted between February and April 2012 in Izmir. The study population consisted of students attending $6^{th}$, $7^{th}$ and $8^{th}$ classes of a primary school (n:302). No sampling was performed. Data were collected with a form developed by the researchers based on the literature. The first part of form is aimed to determine demographic characteristics of adolescents (3 questions) and their risk status of skin cancer (6 questions). The second part was prepared for skin cancer risks of adolescents (8 questions) and indications of skin cancer (12 questions). The last part was intended to determine their knowledge about skin self examination (4 questions) and behavioral stages of skin self examination (1 question). Data collection was achieved with a questionnaire form in three phases. In the 1st phase, data about demographic characteristics of students, risk status of skin cancer, knowledge level of skin cancer and behavior stages were collected. In the $2^{nd}$ phase, skin self examination training based on the transtheoretical model was performed within the same day just after obtaining preliminary data. In the $3^{rd}$ phase, adolescents were followed up three times to establish the efficacy of the training (on the $15^{th}$ day after training program and at end of the $1^{st}$ and $2^{nd}$ months). Follow-up data were evaluated by questioning skin self examination performing behavior stages through electronic mail. Results: Half of the adolescents (50.5%) are male, and 58.4% of them are 13 years old with a mean age of $12{\pm}1.15$ years. About 29.4% of adolescents had brown hair color, 37.9% had brown/hazel eye color, 29.4% had white skin, and 47.2% had fewer than 10 moles in their body. The pretest mean score on knowledge level about risks of skin cancer was found to be $4.19{\pm}1.96$, while the post-test mean score was $6.79{\pm}1.67$ (min:0, max:8).The pretest mean score about indications of skin cancer was $7.45{\pm}3.76$, while the post-test mean score was $10.7{\pm}2.60$ (min:0, max:12). The increases were statistically significant (p<0.05). The behavior "I do not perform skin self examination regularly in every month and I do not think to perform it in the next 6 months" was reduced from 52.8 to 35.5% after training. Conclusion: The training program organized to raise consciousness among adolescents for protection against skin cancer increased the knowledge level about risks and indications of skin cancer and it also improved the behavior of performing skin self examination.

• 전기학회논문지
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• 제56권11호
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• pp.2051-2057
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• 2007

In Oriental medicine, the status of a tongue is the important indicator to diagnose one's health like physiological and clinicopathological changes of inner parts of the body. The method of tongue diagnosis is not only convenient but also non-invasive and widely used in Oriental medicine. However, tongue diagnosis is affected by examination circumstances a lot like a light source, patient's posture and doctor's condition. To develop an automatic tongue diagnosis system for an objective and standardized diagnosis, segmenting a tongue is inevitable but difficult since the colors of a tongue, lips and skin in a mouth are similar. The proposed method includes preprocessing, graph-based over-segmentation, detecting positions with a local minimum over shading, detecting edge with color difference and estimating edge geometry from the probable structure of a tongue, where preprocessing performs down-sampling to reduce computation time, histogram equalization and edge enhancement. A tongue was segmented from a face image with a tongue from a digital tongue diagnosis system by the proposed method. According to three oriental medical doctors' evaluation, it produced the segmented region to include effective information and exclude a non-tongue region. It can be used to make an objective and standardized diagnosis.

• 한국한의학연구원논문집
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• 제14권3호
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• pp.89-95
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• 2008

A tongue shows physiological and clinicopathological changes of inner organs. Visual inspection of a tongue is not only convenient but also non-invasive. To develop an automat ic tongue diagnosis system for an objective and standardized diagnosis, the separation of the tongue are a from a facial image and the detection of coatings, spots and cracks are inevitable but difficult since the colors of a tongue, lips, and skin in a mouth as well as those of tongue furs and body are similar. The propose d method includes preprocessing with down-sampling and edge enhancement, over-segmentation, detecting positions with a local minimum over shading from the structure of a tongue, and correcting local minima or detecting edge with color difference. The proposed method produces the region of a segmented tongue, and then decomposes the color components of the region into hue, saturation and brightness, resulting in classifying the regions of tongue furs(coatings) into kinds of coatings and substance and segmenting them. Spots are detected by using local maxima and the variation of saturation, and cracks are searched by using local minima and the directivity of dark areas in brightness. The results illustrate the segmented region with effective information, excluding a non-tongue region and also give us accurate discrimination of coatings and the precise detection of spots and cracks. It can be used to make an objective and standardized diagnosis for an u-Healthcare system as well as a home care system.

• 전자공학회논문지SC
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• 제45권6호
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• pp.123-131
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• 2008

한의학에서 혀의 상태는 인체 내부의 생리적 병리적 변화와 같은 건강 상태를 진단하는 중요한 지표로 활용된다. 혀의 상태를 진단하는 방법(설진)은 편리할 뿐 아니라 비침습적이므로, 한의학에서 널리 활용되고 있다. 하지만, 설진은 광원이나 환자의 자세, 의사의 건강 조건과 같은 검사 환경에 따라 많은 영향을 받는다. 객관적이고 표준화된 진단을 위한 자동 설진 시스템을 개발하기 위하여 촬영된 얼굴 영상으로부터 혀를 영역분할하고 설태를 분류하는 것은 필수적이지만 혀와 입술, 입 근처의 피부색이 서로 유사하므로 쉽지 않은 일이다. 제안된 방법은 전처리 과정과 영역분할, 혀의 구조로부터 발생하는 음영 영역의 지역 최소값 위치 검색, 지역 최소값의 교정, 컬러의 차이를 최대로 하는 위치를 찾는 컬러 경계면 탐색, 척의 기하적인 특성에 일치하는 경계면 선택, 경계면 평활화로 구성되어 있으며, 여기서 전처리 과정은 계산량의 감소를 위한 부 표본화, 히스토그램 평활화, 경계면 강화를 수행한다. 이러한 시스템적인 과정을 거치면, 영역분할된 혀를 획득할 수 있게 된다. 제안된 방법으로 분할된 영역은 초과적으로 혀가 아닌 영역을 제외해 낼 뿐 아니라 정확한 진단을 위해 중요한 정보를 제공함을 한의사의 진단 유효도 평가점수를 통해 확인할 수 있었다. 제안된 방법은 진단의 객관화와 표준화에 기여할 뿐만 아니라 u-Healthcare 시스템에도 활용 가능하다.