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3D Face Recognition using Local Depth Information
이영학,심재창,이태홍 한국정보과학회 2002 정보과학회논문지 : 소프트웨어 및 응용 Vol.29 No.11
Depth information is one of the most important factor for the recognition of a digital face image. Range images are very useful, when comparing one face with other faces, because of implicating depth information. As the processing for the whole fare produces a lot of calculations and data, face images ran be represented in terms of a vector of feature descriptors for a local area. In this paper, depth areas of a 3 dimensional(3D) face image were extracted by the contour line from some depth value. These were resampled and stored in consecutive location in feature vector using multiple feature method. A comparison between two faces was made based on their distance in the feature space, using Euclidian distance. This paper reduced the number of index data in the database and used fewer feature vectors than other methods. Proposed algorithm can be highly recognized for using local depth information and less feature vectors or the face. 얼굴의 깊이 정보는 얼굴 인식에서 가장 중요한 요소이다. 3차원 얼굴 영상은 깊이 정보를 잘 나타내므로 얼굴의 깊이 값을 비교하는데 아주 유용하다. 얼굴 전체에 대한 처리는 많은 계산량과 데이터 량을 포함해야 하는 문제점이 있다. 따라서 본 논문에서는 얼굴의 국부적인 영역들에 대한 3차원 깊이 값을 이용하여 인식하였다. 3D 레이저 스캐너로 입력된 3차원 얼굴 영상으로부터 어떤 깊이에 있는 등고선 영역을 추출한 후, 이를 영역별로 취하면 국부적인 얼굴 깊이에 대한 특징을 잘 반영하게 된다. 얼굴의 가장 중심인 코를 기준점으로 깊이 영역에 대한 등고선 영역을 추출하며, 얼굴의 깊이를 고려한 국부적 깊이 정보를 다중 특징 벡터를 이용하여 얼굴을 인식한다. 다중 특징 벡터는 벡터 수가 적으면서 얼굴의 지역적 깊이 특성을 잘 나타내므로 간단한 방법으로 높은 인식률을 얻을 수 있었다.
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辛碩基,李映學 釜山大學校 學生生活硏究所 1990 硏究報 Vol.25 No.1
The activities of college students life of university are divided into two domains 1)activity of learning, curriculum oriented activity and 2) extra0curriculum activity. Generally, in campus life curriculum oriented activities is regarded as important ones. But extra-curriculum activities which are closely connected with curriculum oriented activities are an important domain in life of university. Researchers point out that-curriculum activities play an important role in life of university life as follows; (1) establishing personal relation, (2) accumulating various intelligent experience, (3) supplement and expedition of curriculum oriented activities. Therefore, the purpose of this study is to inquire extra-curriculum activities, especially, circle activity, leisure activity and library activity. The results of this study is as follows: First, many researchers point out that circle activity is important itself and help with curriculum oriented activity. Especially, circle activities take charge of indirect domains of university. Second, in according to increase of society, persons have much free times(leisure) and university is one of social organization. So, good use of leisure help undergraduate with life of university. Third, in according to increase of information quantify of learning which is play an important role in life of university. Because library provide informations and opportunities that undergraduates study themselves. In conclusion, extra-curriculum activities, circle activity, leisure activity and library activity play an important role in life of university.
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李永鶴 서울産業大學校 1979 논문집 Vol.12 No.1
It is important to study low cost rubber pad die for sheet metal pressworking. For example, Consider the large heating, Ventilating, and air-Conditioning industry in which low cost rubber pad die design is a vital part. The efforts of this industry are applied to hundreds of diverse fields. such as the aircraft, automotine, and electronic industries.
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이영학,박건우,이태홍 한국정보과학회 2003 정보과학회논문지 : 소프트웨어 및 응용 Vol.30 No.9
본 논문은 3차원 얼굴영상으로부터 얼굴의 구성 요소 중의 하나인 코의 종단면과 횡단면을 이용한 특징값과 얼굴의 다를 구성 요소들로부터 구해진 특징값을 이용하여 얼굴을 인식하는 알고리듬을 제안한다. 객체와 배경을 분리하여 얼굴을 추출 및 얼굴의 최고점인 코끝을 찾은 후, 3차원 영상으로부터 얼굴의 주요 특징영역인 코 정보와 얼굴의 종단면 및 횡단면의 정보를 이용하여 회전 보상 전, 후의 특징값을 구한다. 코의 최고점, 코와 이마 사이의 미간점, 코의 밑점, 그리고 코의 앙쪽 끝점을 탐색하여 코의 종단면과 횡단면을 기준으로 한 면적, 깊이, 각도, 체적, 그리고 눈과 입의 간격을 특징값으로 사용하였다. 제안된 방법을 이용한 유사도 비교는 입력과 데이타 베이스에 대하여 각각 두 개의 깊이 데이타에 대해 유클리드 거리를 사용하였으며, 실험결과 임계 순위 값 5위 이내의 인식률이 95.5%로 나타났다. In this paper, a new practical implementation of a person verification system using features of longitudinal section and transection and other facial, rotation compensated 3D face image, is proposed. The approach works by finding the nose tip that has a protrusion shape on the face. In feature recognition of 3D face image, one has to take into consideration the orientated frontal posture to normalize. Next, the special points in regions, such as nose, eyes and mouth are detected. The depth of nose, the area of nose and the volume of nose based both on the 3 longitudinal section and a transection are calculated. The eye interval and mouth width are also computed. Finally, the 12 features on the face were extracted. The Ll measure for comparing two feature vectors were used, because it is simple and robust. In the experimental results, proposed method achieves recognition rate of 95.5% for the longitudinal section and transection.
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Shear resistance of stud connectors in high strength concrete
이영학,김민숙,김희철,김대진 국제구조공학회 2014 Structural Engineering and Mechanics, An Int'l Jou Vol.52 No.4
The use of steel-concrete composite members has been significantly increased as they have the advantages of the reduction of cross sectional areas, excellent ductility against earthquake loadings and a longer life span than typical steel frame members. The increased use of composite members requires an intensive study on the shear resistance evaluation of stud connectors in high strength concrete. However, the applicability of currently available standards is limited to composite members with normal and lightweight strength concrete. In this paper, push-out tests were performed on 24 specimens to investigate the structural behavior and shear resistance of stud connectors in high strength concrete. Test parameters include the existence of shear studs, height to diameter ratio of a shear stud, its diameter and concrete cover thickness. A shear resistance equation of stud connectors is proposed through a linear regression analysis based on the test results. Its accuracy is compared with those of existing shear resistance equations for studs in normal and lightweight concrete.
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