• 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.

• International Journal of Advanced Culture Technology
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• 제10권1호
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• pp.294-301
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• 2022

COVID-19 is a crisis with numerous casualties. The World Health Organization (WHO) has declared the use of masks as an essential safety measure during the COVID-19 pandemic. Therefore, whether or not to wear a mask is an important issue when entering and exiting public places and institutions. However, this makes face recognition a very difficult task because certain parts of the face are hidden. As a result, face identification and identity verification in the access system became difficult. In this paper, we propose a system that can detect masked face using transfer learning of Yolov5s and recognize the user using transfer learning of Facenet. Transfer learning preforms by changing the learning rate, epoch, and batch size, their results are evaluated, and the best model is selected as representative model. It has been confirmed that the proposed model is good at detecting masked face and masked face recognition.

• 품질경영학회지
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• 제50권3호
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• pp.387-405
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• 2022

Purpose: This study aims to develop a communality model to measure the service quality that the customers encounter on face-to-face and non-face-to-face automobile insurance before and after insurance purchase. Methods: For these purposes, we conduct a five-step program to develop a comprehensive communality model to measure service quality except insurance purchase channels. Results: As a result, we find five communality factors: value-added service for automobile maintenance, value-added service for drivers, quickness, dispatch service, and convenience of the service process. And the relative importance of service quality factors was in the order of value-added service for drivers, the convenience of the service process, quickness, and dispatch service, respectively. Conclusion: This study developed the opportunities to enhance service quality to attract customers. And it contributes to the academic literature by reporting the industry-specific service quality model, which maintains a theoretical gap in the online and offline automobile insurance industry.

• 한국터널지하공간학회 논문집
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• 제2권2호
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• pp.32-40
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• 2000

본 논문에서는 수평보강재로 보강된 터널 막장의 거동에 대한 매개변수 연구를 다루었다. 매개변수 연구에서는 축소모형실험을 수행하였으며 실험 결과를 이용하여 보강막장의 거동을 고찰하였다. 실험결과 터널 막장은 수평보강재로 보강함에 따라 변형이 억제되어 안정성이 증대되는 경향을 보였으며, 이러한 결과는 3차원 유한요소해석 결과와 정성적인 면에서 좋은 일치를 보였다. 따라서 막장 수평보강 공법은 막장의 안정성을 향상시키는 매우 유용한 공법으로 적용될 수 있을 것으로 판단되며, 일반적인 설계법을 개발하기 위해서 3차원 유한요소해석 모델링이 활용될 수 있을 것으로 사료된다.

• 전기학회논문지
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• 제64권6호
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• pp.900-911
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• 2015

In this paper, 3D face recognition model is designed by using Polynomial based RBFNN(Radial Basis Function Neural Network) and PNN(Polynomial Neural Network). Also recognition rate is performed by this model. In existing 2D face recognition model, the degradation of recognition rate may occur in external environments such as face features using a brightness of the video. So 3D face recognition is performed by using 3D scanner for improving disadvantage of 2D face recognition. In the preprocessing part, obtained 3D face images for the variation of each pose are changed as front image by using pose compensation. The depth data of face image shape is extracted by using Multiple point signature. And whole area of face depth information is obtained by using the tip of a nose as a reference point. Parameter optimization is carried out with the aid of both ABC(Artificial Bee Colony) and PSO(Particle Swarm Optimization) for effective training and recognition. Experimental data for face recognition is built up by the face images of students and researchers in IC&CI Lab of Suwon University. By using the images of 3D face extracted in IC&CI Lab. the performance of 3D face recognition is evaluated and compared according to two types of models as well as point signature method based on two kinds of depth data information.

• 한국IT서비스학회지
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• 제6권2호
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• pp.161-175
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• 2007

Face recognition technology has lately attracted considerable attention because of its non-intrusiveness, usability and applicability. Related companies insist that their commercial products show the recognition rates more than 95% according to their self-testing. But, the rates cannot be admitted as official recognition rates. So, performance evaluation methods and tools are necessary to objectively measure the accuracy and performance of face recognition systems. In this paper, I propose a reference model for biometrics recognition evaluation tools, and implement an evaluation tool for the face recognition system based on the proposed reference model.

• 대한전자공학회:학술대회논문집
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• 대한전자공학회 2006년도 하계종합학술대회
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• pp.1031-1032
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• 2006

A 3D model based face recognition system is generally inefficient in computation time because 3D face model consists of a large number of vertices. In this paper, we propose a novel 3D face representation algorithm to reduce the number of vertices and optimize its computation time.

• 반도체디스플레이기술학회지
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• 제19권2호
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• pp.96-99
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• 2020

According to brilliant development of smart devices, many related services are being devised. And, almost every service is designed to provide user-centric services based on personal information. In this situation, to prevent unintentional leakage of personal information is essential. Conventionally, ID and Password system is used for the user authentication. This is a convenient method, but it has a vulnerability that can cause problems due to information leakage. To overcome these problem, many methods related to face recognition is being researched. Through this paper, we investigated the trend of user authentication through biometrics and a representative model for face recognition techniques. One is DeepFace of FaceBook and another is FaceNet of Google. Each model is based on the concept of Deep Learning and Distance Metric Learning, respectively. And also, they are based on Convolutional Neural Network (CNN) model. In the future, further research is needed on the equipment configuration requirements for practical applications and ways to provide actual personalized services.

• Geomechanics and Engineering
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• 제25권3호
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• pp.233-243
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• 2021

Rib spalling is a major issue affecting the safety of steeply inclined coal seam. And the failure coal face and support system can be affected with each other to generate a vicious cycle along with inducing large-scale collapse of surrounding rock in steeply inclined coal seam. In order to analyze failure mechanism and propose the corresponding prominent control measures of steeply inclined coal working face, mechanical model based on coal face-support-roof system and mechanical model of coal face failure was established to reveal the disaster mechanism of rib spalling and the sensitive analysis of related factors was performed. Furthermore, taking 3402 working face of Chen-man-zhuang coal mine as engineering background, numerical model by using FLAC3D was built to illustrate the propagation of displacement and stress fields in steeply inclined coal seam and verify the theory analysis as mentioned in this study. The results show that the coal face slide body in steeply inclined working face can be observed as the failure height of upper layer smaller than that of lower layer exhibiting with an irregular quadrilateral pyramid shape. Moreover, the cracks were originated from the upper layer of sliding body and gradually developed to the lower layer causing the final rib spalling. The influence factors on the stability of coal face can be ranked as overlying strata pressure (P) > mechanical parameters of coal body (e.g., cohesion (c), internal fraction angle (φ)) > support strength (F) > the support force of protecting piece (F') > the false angle of working face (Θ). Moreover, the corresponding control measures to maintain the stability of the coal face in the steeply inclined working face were proposed.

• 사상체질의학회지
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• 제18권2호
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• pp.25-33
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• 2006

1. Objectives Recently there have been studied the trials to take out the characteristics of Sasangin's face. 3 dimensional modeling is essential to find out sasangin's face. So the studies of standard face model and face type are necessary. 2. Methods I have reviewed the researches of standard facial modeling and facial type in the inside and outside of the country. 3. Results and Conclusions The Facial Definition Parameters are a very complex set of parameters defined by MPEG-4. It has defineds set of 84 feature points and 68 Facial Animation Parameters. Face type has been researched to divide into male and female, or the westerns and the orientals, or sasangin(Taeyangin, Taeumin, Soyangin, Soeumin).