• Title/Summary/Keyword: face mask

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A Study on Costume Feature of Italian Masque Commedia Dell'arte and Korean Masque (이태리 가면희극 코메디아 델라르테(commedia dell'arte)와 한국 가면극의 복식특성 연구)

  • Kim, Hee-Jung
    • Journal of the Korean Home Economics Association
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    • v.47 no.2
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    • pp.15-26
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    • 2009
  • The purpose of this study is to research development process of commedia dell'arte and Korean masque that have similar figure, grasp similarity and difference and find the meaning of masque and costume in both theatrical arts. Italian commedia dell'arte and Korean masque are performed by wearing standardized mask and costume depending on the role. As common points, first, the characters have unique names and possess unique features of character, costumes, masks and playing styles. Through the feature, the audiences can understand role of actor and the actors can devote themselves to their role by wearing masks and costumes. Second, although background plays an important role in commedia dell'arte, the role of costume is more important. Because masque speaks for poverties of general people indirectly, the costumes of general people were used as they are. As different point, first, most of Korean masks cover entire face, restricting speech of actor but masks of commedia dell'arte cover only upper part of face and expos mouth and chin of actor, enabling actors to express various emotions depending on the character. Second, priority is given to personality of actor and origin area and current silhouette, material and color that changed by century is reflected in the costume of commedia dell'arte but silhouette, material and color of the Age of Joseon Dynasty were adopted in Korean masque.

A study on Flow Characteristics of the Semi-Circular inlet S-Shaped Intake at Various Angle of Incidence (입사각에 따른 반원형 입구형상 S-Shaped Intake에 대한 유동특성 연구)

  • Lee, Jihyeong;Cho, Jinsoo
    • Journal of Institute of Convergence Technology
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    • v.5 no.2
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    • pp.27-32
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    • 2015
  • Air intakes are an essential component of aircraft engines. They are mainly used to offer uniform airflows to engine faces. Fighter aircraft have to mask the engine face inside the fuselage in order to reduce the Radar Cross Section(RCS). Therefore, offset intakes like a S-Duct are one of promising components for this purpose. During a fight, it is unavoidable that the flow will enter the intakes at some face angles other than zero. In this case, the performance of the aircraft engine will be influenced to the angle of incidence. In this study, the CFD analysis of the semi-circular S-Duct with AR(0.5,0) is performed to investigate the influence of the angle of incidence on the performance of the S-Duct using a distortion coefficient. To consider the adverse pressure gradient, a $k-{\omega}$ SST turbulence model is employed. The secondary flow and flow separation are observed for all computational cases. It is found that the positive incidence angle produces the best performances.

Recognition of Resident Registration Card using ART-1 based Self-Organizing Supervised Learning Algorithm And Face Recognition (ART-1 기반 자가 생성 지도 학습 알고리즘과 얼굴 인증을 이용한 주민등록증 인식)

  • Shin Tae-Sung;Park Choong-Shik;Moon Yong-Eun;Kim Kwang-Baek
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2006.05a
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    • pp.313-318
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    • 2006
  • 본 논문에서는 ART-1 기반 자가 생성 지도학습 알고리즘과 얼굴 인증을 이용한 주민등록증 인식방법을 제안한다. 본 논문에서는 주민등록증 영상에서 주민등록번호와 발행일을 추출하기 위해, 획득된 주민등록증의 영상에서 Sobel Mask와 Median Filter를 이용하여 윤곽선을 추출하고 잡음을 제거한 후, 수평 스미어링을 적용하여 주민등록번호와 발행일 영역을 각각 추출한다. 그리고 고주파 필터링을 적용하여 추출된 영역을 이진화하고 4방향 윤곽선 추적 알고리즘을 적용하여 개별 코드를 추출한다. 추출된 개별 코드는 ART-1 기반 자가 생성 지도학습 알고리즘을 적용하여 인식한다. 얼굴 인증은 Template Matching 방법을 적용하여 Face Template Database를 구축하고, 획득된 주민등록증의 얼굴 영역과의 유사도를 측정하여 주민등록증의 사진 위조 여부를 판별한다. 제안된 주민등록증 인식 방법의 성능을 평가하기 위해 10개의 주민등록증을 대상으로 실험하였고 원본 주민등록증 영상에서 사진과 얼굴 부분을 위조한 주민등록증에 대해 얼굴 인증 실험을 하였다. 실험을 통해 제안된 방법이 주민등록번호 인식 및 얼굴 인증에 있어서 우수한 성능이 있음을 확인하였다.

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Effect of Skin Elasticity Improvement and Anti-oxidant Activity of Stem Cells Extract Derived from Cambium of Aloe (알로에 형성층 유래 줄기세포 추출물의 항산화 활성 및 피부탄력 개선 효과)

  • Dong-Myong Kim;Won-Jin Kim;Hyung-Kon Lee;Yong-Seong Kwon;Yeon-Mea Choi
    • Journal of the Society of Cosmetic Scientists of Korea
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    • v.49 no.2
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    • pp.169-176
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    • 2023
  • In this study, stem cells were extracted from the callus derived from the aloe cambium, and the antioxidant activity and effect of skin elasticity improvement were assessed. The aloe cambium-derived stem cell extract, AloStem and callus showed the survival rate of each 98.27% and 71.31%. In the results of the DPPH antioxidant activity of AloStem and aloe extract, it was confirmed that the antioxidant effect of AloStem was more than twice that of Aloe extract. AloStem did not affect the cytotoxicity of normal human dermal fibroblasts (NHDF) cells up to 0.25% concentration. Also, AloStem increased elastin, COL1A1 and HAS2 mRNA expression levels dose-dependently. Furthermore, to examine lifting effect of skin elasticity using a sheet mask containing AloStem, 21 adult men and women applied the sheet mask in the face, once a day for 2 weeks. As a result, after 2 weeks the skin length was 116.75 ± 5.58 mm before the use of the sheet mask, but after 2 weeks of use, it was confirmed that 0.59% increased to 117.44 ± 5.17 mm. Thus, we concluded that the sheet mask containing AloStem can help the lifting effect of skin elasticity.

Design and Implementation of Personal Information Identification and Masking System Based on Image Recognition (이미지 인식 기반 향상된 개인정보 식별 및 마스킹 시스템 설계 및 구현)

  • Park, Seok-Cheon
    • The Journal of the Institute of Internet, Broadcasting and Communication
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    • v.17 no.5
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    • pp.1-8
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    • 2017
  • Recently, with the development of ICT technology such as cloud and mobile, image utilization through social networks is increasing rapidly. These images contain personal information, and personal information leakage accidents may occur. As a result, studies are underway to recognize and mask personal information in images. However, optical character recognition, which recognizes personal information in images, varies greatly depending on brightness, contrast, and distortion, and Korean recognition is insufficient. Therefore, in this paper, we design and implement a personal information identification and masking system based on image recognition through deep learning application using CNN algorithm based on optical character recognition method. Also, the proposed system and optical character recognition compares and evaluates the recognition rate of personal information on the same image and measures the face recognition rate of the proposed system. Test results show that the recognition rate of personal information in the proposed system is 32.7% higher than that of optical character recognition and the face recognition rate is 86.6%.

Recognition of Resident Registration Cards Using ART-1 and PCA Algorithm (ART-1과 PCA 알고리즘을 이용한 주민등록증 인식)

  • Park, Sung-Dae;Woo, Young-Woon;Kim, Kwang-Baek
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.11 no.9
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    • pp.1786-1792
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    • 2007
  • In this paper, we proposed a recognition system for resident registration cards using ART-1 and PCA algorithm. To extract registration numbers and issue date, Sobel mask and median filter are applied first and noise removal follows. From the noise-removed image, horizontal smearing is used to extract the regions, which are binarized with recursive binarization algorithm. After that vortical smearing is applied to restore corrupted lesions, which are mainly due to the horizontal smearing. from the restored image, areas of individual codes are extracted using 4-directional edge following algorithm and face area is extracted by the morphologic characteristics of a registration card. Extracted codes are recognized using ART-1 algorithm and PCA algorithm is used to verify the face. When the proposed method was applied to 25 real registration card images, 323 characters from 325 registration numbers and 166 characters from 167 issue date numbers, were correctly recognized. The verification test with 25 forged images showed that the proposed verification algorithm is robust to detect forgery.

In Search of a Performing Seal: Rethinking the Design of Tight-Fitting Respiratory Protective Equipment Facepieces for Users With Facial Hair

  • Meadwell, James;Paxman-Clarke, Lee;Terris, David;Ford, Peter
    • Safety and Health at Work
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    • v.10 no.3
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    • pp.275-304
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    • 2019
  • Background: Air-purifying, tight-fitting facepieces are examples of respiratory protective equipment and are worn to protect workers from potentially harmful particulate and vapors. Research shows that the presence of facial hair on users' face significantly reduces the efficacy of these devices. This article sets out to establish if an acceptable seal could be achieved between facial hair and the facepiece. The team also created and investigated a low-cost "pressure testing" method for assessing the efficacy of a seal to be used during the early design process for a facepiece designed to overcome the facial hair issue. Methods: Nine new designs for face mask seals were prototyped as flat samples. A researcher developed a test rig, and a test protocol was used to evaluate the efficacy of the new seal designs against facial hair. Six of the seal designs were also tested using a version of the conventional fit test. The results were compared with those of the researcher-developed test to look for a correlation between the two test methods. Results: None of the seals performed any better against facial hair than a typical, commercially available facepiece. The pressure testing method devised by the researchers performed well but was not as robust as the fit factor testing. Conclusion: The results show that sealing against facial hair is extremely problematic unless an excessive force is applied to the facepiece's seal area pushing it against the face. The means of pressure testing devised by the researchers could be seen as a low-cost technique to be used at the early stages of a the design process, before fit testing is viable.

The Measurement of Korean Face Skin Rigidity for a Robotic Headform of Respiratory Protective Device Testing (호흡보호구 평가용 얼굴 로봇을 위한 한국인 얼굴 피부의 경도 측정)

  • Eun-Jin Jeon;Young-jae Jung;Ah-lam Lee;Hee-Eun Kim;Hee-Cheon You
    • Fashion & Textile Research Journal
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    • v.25 no.2
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    • pp.248-254
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    • 2023
  • This study aims to measure the skin rigidity of different facial areas among Koreans and propose guidelines for each area's skin rigidity that can be applied with a facial robot for testing respiratory protective devices. The facial skin rigidity of 40 participants, which included 20 men and 20 women, aged 20 to 50, was analyzed. The rigidity measurement was conducted in 13 facial areas, including six areas in contact with the mask and seven non-contact areas, by referring to the facial measurement guidelines of Size Korea. The facial rigidity was measured using the Durometer RX-1600-OO while in a supine position. The measurement procedure involved contacting the durometer vertically with the reference point, repeating the measurement of the same area five times, and using the average of three values whose variability was between 0.4 and 4.2 Shore OO. The rigidity data analysis used precision analysis, descriptive statistics analysis, and mixed-effect ANOVA. The analysis confirmed the rigidity of the 13 measurement areas, with the highest rigidity of the face being at the nose and forehead points, with values of 51.2 and 50.8, respectively, and the lowest rigidity being at the chin and center of the cheek points, with values of 19.2 and 20.7, respectively. Significant differences between gender groups were observed in four areas: the tip of the nose, the point below the chin, the area below the lower jaw, and the inner concha.

Adaboost Based Face Detection Using Two Separated Rectangle Feature Mask (분리된 두 사각 특징 마스크를 이용한 Adaboost 기반의 얼굴 검출)

  • Hong, Yong-Hee;Chung, Hwan-Ik;Han, Young-Joon;Hahn, Hern-Soo
    • Proceedings of the KIEE Conference
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    • 2009.07a
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    • pp.1855_1856
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    • 2009
  • 본 논문은 Haar-like 마스크와 유사한 특징을 갖지만 두 사각형 영역의 크기와 위치를 제한하지 않는 분리된 두 사각 특징 마스크를 이용한 Adaboost 기반 얼굴검출 알고리즘을 제안한다. 기존의 Haar-like 특징이 단순히 두 사각 영역의 화소값들의 차를 구함으로써 계산이 용이하나 인접한 두 사각 영역으로 한정함으로써 고품질 특징을 얻기 어렵다. 이런 Haar-like 특징마스크의 내재된 문제점을 개선하기 위해, 제안하는 특징 마스크는 다양한 크기와 분리된 두 사각 영역을 갖는 형태로 고품질의 특징을 얻는다. 고품질의 특징은 Adaboost 알고리즘의 약 분류기(weak classifier)의 성능을 학습단계부터 높여 전반적으로 얼굴 검출 알고리즘의 성능을 향상시킨다. 제안하는 분리된 두 사각 특징을 이용한 adaboost 기반 얼굴검출 기법의 우수성을 다양한 실험을 통해 검증하였다.

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Facial Expression Recognition using 1D Transform Features and Hidden Markov Model

  • Jalal, Ahmad;Kamal, Shaharyar;Kim, Daijin
    • Journal of Electrical Engineering and Technology
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    • v.12 no.4
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    • pp.1657-1662
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    • 2017
  • Facial expression recognition systems using video devices have emerged as an important component of natural human-machine interfaces which contribute to various practical applications such as security systems, behavioral science and clinical practices. In this work, we present a new method to analyze, represent and recognize human facial expressions using a sequence of facial images. Under our proposed facial expression recognition framework, the overall procedure includes: accurate face detection to remove background and noise effects from the raw image sequences and align each image using vertex mask generation. Furthermore, these features are reduced by principal component analysis. Finally, these augmented features are trained and tested using Hidden Markov Model (HMM). The experimental evaluation demonstrated the proposed approach over two public datasets such as Cohn-Kanade and AT&T datasets of facial expression videos that achieved expression recognition results as 96.75% and 96.92%. Besides, the recognition results show the superiority of the proposed approach over the state of the art methods.