• 한국생산제조학회지
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• 제4권4호
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• pp.16-24
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• 1995

The milling process is one of the most important metal removal processes in industry. due to the complexities inherent to the cutter insert geometry and the milling cutter kinematics, these processes leave an analytically difficult to predict texture on the machined surface's hills and valleys. The instantaneous uncut chip cross sectional area may be estimated by the relative position between the workpiece and the cutter inserts. Furthermore, since the cutting forces are proportional to the instantaneous uncut chip cross sectional area, the cutting forces in face milling operations can not be estimated easily. A new simulation program which is based upon the numerical method has been proposed to estimate the cutting force components, with the ability to predict the machined surface texture left by the face milling.

• 한국정보전자통신기술학회논문지
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• 제12권1호
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• pp.22-28
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• 2019

This paper presents a method for detection of an emergency signal expressed by arm gestures based on motion segmentation and face area detection in the surveillance system. The important indicators of emergency can be arm gestures and voice. We define an emergency signal as the 'Help Me' arm gestures in a rectangle around the face. The 'Help Me' arm gestures are detected by tracking changes in the direction of the horizontal motion vectors of left and right arms. The experimental results show that the proposed method successfully detects 'Help Me' emergency signal for a single person and distinguishes it from other similar arm gestures such as hand waving for 'Bye' and stretching. The proposed method can be used effectively in situations where people can't speak, and there is a language or voice disability.

• 대한방사선기술학회지:방사선기술과학
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• 제45권6호
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• pp.531-541
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• 2022

This study surveyed 233 students who experienced non-face-to-face and face-to-face classes in "86 first-year, 76 second-year, and 71 third-year students" enrolled in the radiology department of universities in the Seoul metropolitan area. The main question of questionnaire consisted of a total of 14 questions, including online lectures and face-to-face lectures, use of electronic devices during classes, students' thoughts on flipped learning methods, and finally, whether it was helpful for students who were unable to participate in face-to-face classes due to COVID-19 to take classes online. The responses were composed optional to select the content of the questionnaire and descriptive to obtain open thinking from students. Comparing the significance level of responses of second and third graders based on the first graders, p>0.05 for second graders and p<0.05 for third graders, showing a significant difference in satisfaction with third graders who were greatly damaged by COVID-19 and freshmen. In conclusion, even in a situation where face-to-face lectures can be conducted, it is considered beneficial for students to conduct online lectures and face-to-face lectures according to the method of the major subject.

• 대한전자공학회:학술대회논문집
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• 대한전자공학회 2003년도 신호처리소사이어티 추계학술대회 논문집
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• pp.313-316
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• 2003

This paper proposes a new measurement method of face region size for real-time serveillance systems. The proposed method consists of three steps. In the first step, it detects global face area based on the block-based difference images. In the second step, it measures the face region size using face color information. In the third step, it estimates the face position in the next input image using the trajectory of face regions. The experimental results have shown that the proposed algorithm measures the face size within 20％ relative error on average, which is a]towable for most surveillance systems.

• 한국산업정보학회논문지
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• 제13권4호
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• pp.56-63
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• 2008

얼굴 인식률 향상을 위해서는 전처리 단계에서의 영상 보정이 매우 중요하며, 특히 배경 잡음 제거는 얼굴 인식의 정확도에 중대한 영향을 미친다. 본 논문에서는 얼굴 인식률 향상을 위하여 전처리 단계에서 타원 모델을 이용하여 배경 영역을 제거하는 방법을 제안하였다. 사람의 얼굴 윤곽은 타원의 형태를 나타내기 때문에 얼굴 영상에서 타원 모델을 이용할 경우 얼굴 영역을 용이하게 검출할 수 있다. ETRI, ORL, 및 XM2VTS 얼굴 데이터베이스에 대한 실험 분석을 통하여 제안된 방법이 얼굴 인식 성능을 뚜렷하게 개선시켰음을 알 수 있었다.

• 한국정보처리학회:학술대회논문집
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• 한국정보처리학회 2019년도 추계학술발표대회
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• pp.1002-1003
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• 2019

Face recognition is an extensively researched area of computer vision. Visible, infrared, thermal, and 3D modalities have been used against various challenges of face recognition such as illumination, pose, expression, partial information, and disguise. In this paper we present a multi-modal approach to face recognition using convolutional neural networks. We use visible and thermal face images as two separate inputs to a multi-input deep learning network for face recognition. The experiments are performed on IRIS visible and thermal face database and high face verification rates are achieved.

• 한국지형학회지
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• 제18권4호
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• pp.283-296
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• 2011

경북 포항시 북구 송라면의 화진 해빈을 대상으로 지상 라이다를 이용하여 두 차례 측량한 후 단기간의 해빈과 해안사구 지형 변화를 분석하고 그 결과를 토대로 해빈의 역동성과 일반 이론의 적용 가능성을 검토하였다. 2010년 9월과 10월에 2회에 걸쳐 측량된 자료를 통해 10cm 간격의 고해상도 DEM과 음영기복도를 제작하였다. 그 결과 수 cm 단위의 해안 미지형을 파악할 수 있었고, 측정 시기에 따른 해안선의 위치와 해안지역의 면적 변화가 정확하게 확인되었다. DEM을 이용한 단면 분석에서는 북쪽 해빈의 비치페이스(beach face)가 침식 현상이 확인되었고, 남쪽 해빈에서는 중간 부분의 비치페이스(beach face)에서 퇴적 현상이 확인되었다. 또한 두 시기의 지형 단면은 파랑의 에너지 상태를 잘 반영하는 것으로 나타났다.

• 한국생활과학회지
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• 제14권5호
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• pp.813-820
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• 2005

The beauty itself cannot be changed by the time, but the concept of the beauty can be influence by the time and cultural background. The purpose of this study is to analyze the beautiful faces or ugly faces among the young women and to provide useful guideline to make up for the modem concept of beauty. The facial photographs of 180 adlut women(aged between 20 and 29) in Pusan and Ulsan area were sampled to be measured and classified as the beautiful or ordinary or ugly faces. Data were analyzed by Frequencies, Mean, Duncan's Multiple Range Test. The major results were as followings; the Beautiful face has a relatively small face with a broad forehead and a small lower face. It also has a wide palpebral fissure, narrow intercanthal distance, a narrow nose and a big mouth. Physiognomic face length was 182.38mm, the upper face length was 59.82mm, the middle face length 60.82mm, the lower face length 61.76mm, and the index of face length to face breadth was 1.35. And also the faces within the figures are considered as the beautiful or ordinary or ugly faces from those measurements like face length/bizygion breadth, intercanthal distance, mouth width, upper vermilion height, lower vermilion height.

• 대한공간정보학회지
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• 제16권1호
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• pp.49-55
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• 2008

도로 주변의 영상을 사용자들에게 제공하기 위해서는 사생활 침해의 문제가 발생하지 않도록 영상에 존재하는 사람(얼굴)을 추출하여 제거하는 과정이 필수적으로 이루어져야 한다. 도로 주변의 CCD영상에서의 얼굴 추출을 위해, 영상의 먼저 HSI(색상, 채도, 명도)와 YCrCb 칼라 모델을 사용하여 피부색을 검출하였으며, 두 개의 모델을 사용한 결과 효과적인 피부색의 검출이 가능하였다. 이렇게 검출된 피부색 영역을 연결성과 밝기 차이를 영역 분할을 실행하고 나뉜 구역들에 면적, 개수, 비율, 타원의 조건을 적용하여 최종적인 얼굴 후보 구역을 결정하였다. 그리고 이렇게 결정된 구역들을 임계값을 이용하여 이진화하고, 이진화 된 영상 중 검은 부분이 5% 이상일 때 얼굴로 결정하였다. 실험 결과 초상권 침해의 문제가 되는 38개의 영상 중에서 28개의 얼굴이 추출되었다. 얼굴이 추출되지 않은 원인으로는 얼굴의 음영지역과, 피부색과 유사한 배경 등을 들 수 있다. 또한 얼굴과 비슷한 색과 형태를 가진 물체들이 추출되는 사례가 많이 발생하였다. 이러한 문제들을 보완하기 위해서는 얼굴 후보 영역조건을 세분화 하고 영역 분할 방식과, 얼굴 최종 결정 부분의 알고리즘을 더 구체적으로 보완해야 할 필요성이 있다고 여겨진다.

• 대한의용생체공학회:의공학회지
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• 제44권5호
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• pp.329-335
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• 2023

Perceived age is defined as age estimated based on physical appearance. Perceived age is an important indicator of the overall health status of the elderly. This is because people who appear older tend to have higher rates of morbidity and mortality than people of the same chronological age. Although perceived age is an important indicator, there is a lack of objective methods to quantify perceived age. In this paper, we construct a quantified perceived age model from face images using a convolutional neural network. The face images are enlarged to super-resolution and the skin, an important feature in perceived age, is made clear. Moreover, through Tanh-polar transformation, the central area of the face occupies a relatively larger area than the boundary area, helping the neural network better recognize facial skin features. The experimental results show mean absolute error (MAE) of 6.59, showing that the proposed model is superior to existing method.