• Archives of Plastic Surgery
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• 제42권1호
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• pp.34-39
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• 2015

Background Facial laceration is the most common injury encountered in the emergency room in the plastic surgery field, and optimal treatment is important. However, few authors have investigated this injury in all age groups or performed follow-up visit after repair. In the present study, the medical records of patients with lacerations in the facial area and underwent primary repair in an emergency room over a 2-year period were reviewed and analyzed. Methods Medical records of 3,234 patients with lacerations in facial area and underwent primary repair in an emergency room between March 2011 and February 2013 were reviewed and identified. Results All the 3,234 patients were evaluated, whose ratio of men to women was 2.65 to 1. The forehead was the most common region affected and a slip down was the most common mechanism of injury. In terms of monthly distribution, May had the highest percentage. 1,566 patients received follow-up managements, and 58 patients experienced complications. The average days of follow-up were 9.8. Conclusions Proportion of male adolescents was significantly higher than in the other groups. Facial lacerations exhibit a 'T-shaped' facial distribution centered about the forehead. Careful management is necessary if a laceration involves or is located in the oral cavity. We were unable to long term follow-up most patients. Thus, it is necessary to encourage patients and give them proper education for follow-up in enough period.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제8권5호
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• pp.1690-1710
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• 2014

In this paper, we propose the rapid implementation of a 3-dimensional (3D) facial reconstruction from a single frontal face image and introduce a design for its application on a mobile device. The proposed system can effectively reconstruct human faces in 3D using an approach robust to lighting conditions, and a fast method based on a Canonical Correlation Analysis (CCA) algorithm to estimate the depth. The reconstruction system is built by first creating 3D facial mapping from a personal identity vector of a face image. This mapping is then applied to real-world images captured with a built-in camera on a mobile device to form the corresponding 3D depth information. Finally, the facial texture from the face image is extracted and added to the reconstruction results. Experiments with an Android phone show that the implementation of this system as an Android application performs well. The advantage of the proposed method is an easy 3D reconstruction of almost all facial images captured in the real world with a fast computation. This has been clearly demonstrated in the Android application, which requires only a short time to reconstruct the 3D depth map.

• 한국정보과학회논문지:컴퓨팅의 실제 및 레터
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• 제11권3호
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• pp.284-291
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• 2005

본 연구에서는 학습한 표정 패턴을 기반으로 비디오에서 사람의 얼굴을 검출하고 표정을 분석하여 분류하는 프레임워크를 제안한다. 제안 프레임워크는 얼굴 표정을 인식하는데 있어 공간적 정보 외시간에 따라 변하는 표정의 패턴을 표현하기 위해 표정 특성을 공간적으로 분석한 PCA와 시공간적으로 분석한 Hidden Markov Model(HMM) 기반의 표정 HMM을 이용한다. 표정의 공간적 특징 추출은 시간적 분석 과정과 밀접하게 연관되어 있기 때문에 다양하게 변화하는 표정을 검출하여 추적하고 분류하는데 HMM의 시공간적 접근 방식을 적용하면 효과적이기 때문이다. 제안 인식 프레임워크는 현재의 시각적 관측치와 이전 시각적 결과간의 사후 확률 방법에 의해 완성된다. 결과적으로 제안 프레임워크는 대표적인 6개 표정뿐만 아니라 표정의 정도가 약한 프레임에 대해서도 정확하고 강건한 표정 인식 결과를 보인다. 제안 프레임 워크를 이용하면 표정 인식, HCI, 키프레임 추출과 같은 응용 분야 구현에 효과적이다

• 대한약침학회지
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• 제21권4호
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• pp.258-267
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• 2018

Objectives: The purpose of this study was to find out validity of Surface Electromyography(sEMG) compared with Nerve Conduction Study and clinical assessment scale as assessment factors for facial palsy. Methods: We investigated 50 cases of patients with peripheral facial palsy who had records of sEMG and NCS to check. Then we analyzed the correlation between sEMG and NCS that carried out around 1 week after onset. And we analyzed the correlation between sEMG and clinical assessment scales that were measured three times around 1 week, 3-4 weeks and 5-6 weeks after onset. Clinical assessment scales used in this study were House-brackmann grade, Yanagihara unweighted grading scale and Sunnybrook facial grading system. We used Pearson's correlation for statistical analysis. Results: sEMG and NCS, measured at similar times, were statistically correlated. Especially, the correlation with the forehead region was high. And sEMG and clinical assessment scale, measured at same time, were statistically correlated, especially after 5 weeks from onset. Conclusion: According to this study, sEMG is expected to be useful to assessment facial palsy.

• International Journal of Computer Science & Network Security
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• 제24권5호
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• pp.11-20
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• 2024

While artificial neural networks are adept at identifying patterns, they can struggle to distinguish between actual correlations and false associations between extracted facial features and criminal behavior within the training data. These associations may not indicate causal connections. Socioeconomic factors, ethnicity, or even chance occurrences in the data can influence both facial features and criminal activity. Consequently, the artificial neural network might identify linked features without understanding the underlying cause. This raises concerns about incorrect linkages and potential misclassification of individuals based on features unrelated to criminal tendencies. To address this challenge, we propose a novel region-based training approach for artificial neural networks focused on criminal propensity detection. Instead of solely relying on overall facial recognition, the network would systematically analyze each facial feature in isolation. This fine-grained approach would enable the network to identify which specific features hold the strongest correlations with criminal activity within the training data. By focusing on these key features, the network can be optimized for more accurate and reliable criminal propensity prediction. This study examines the effectiveness of various algorithms for criminal propensity classification. We evaluate YOLO versions YOLOv5 and YOLOv8 alongside VGG-16. Our findings indicate that YOLO achieved the highest accuracy 0.93 in classifying criminal and non-criminal facial features. While these results are promising, we acknowledge the need for further research on bias and misclassification in criminal justice applications

• 한국산학기술학회논문지
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• 제15권4호
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• pp.2150-2159
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• 2014

본 연구는 서울 경기지역의 치과에 내원한 389명의 환자를 대상으로 교정치료 및 안면성형 수술에 대한 실태를 조사하고자 하였다. 자료수집 후 spss 통계프로그램을 이용하여 분석하였다. 교정치료경험이 있는 환자의 치열만족도가 높게 나타났고(p<0.01), 여자가 남자보다 301-400만원이 적당한 교정치료 비용이라고 높게 인식하고 있었으며(p<0.05) 교정치료 경험이 있는 환자가 19-24개월 이하를 적절한 교정치료 기간으로 인식하고 있었다(p<0.01). 또한 여자가 남자보다 교정치료 검진 필요성(p<0.001), 안면성형수술 경험(p<0.01)이 높게 나타났다. 안면성형수술 희망부위에서는 여자가 눈 수술이(p<0.01), 교정치료 경험이 있는 환자에서는 코 수술이 높게 나타났다(p<0.05). 한편, 여자가 안면 부위 중 눈을 가장 중요하게 인식하고 있었으며(p<0.001), 안면성형 부위 중 양악을 치과에서 해야 한다고 높게 인식하고 있었다(p<0.01). 결론적으로 임상에서 교정치료 및 안면성형을 희망하는 환자 상담 시 성별 및 개인의 요구를 파악하여 진료에 반영하고 특히 안면성형 중 양악수술은 구강의 기능을 고려해야 하므로 치과의료진의 참여가 필수적이라 사료된다.

• 한국콘텐츠학회논문지
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• 제9권9호
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• pp.97-104
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• 2009

본 논문은 고차원 얼굴 모션 캡처 데이터를 선형 및 비선형 투영 기법에 각각 적용하고, 이를 2차원 평면으로 투영하기 위한 최적의 방법론에 대한 것이다. 본 방법의 핵심 요소는 프레임 단위의 고차원 얼굴 표정 데이터를 선형 투영 기법인 PCA와 비선형 투영 기법인 Isomap, MDS, CCA, Sammon's Mapping, LLE 등에 적용하고 이를 저차원 공간에 분포시키는 방법론 및 그 결과를 비교 분석하는 것이다. 이를 위해서는 먼저 기존의 고차원 얼굴 표정 프레임 데이터들 사이의 거리를 구하고, 선형 및 비선형 투영 기법들을 적용한 상태에서 기존의 데이터들 사이의 거리 관계를 유지하면서 저차원인 2차원 평면 공간에 분포시키는 것이다. 그리고 2차원 공간에 분포된 얼굴 표정 데이터가 원형 데이터와 비교 했을 때, 최적의 상태로 프레임 데이터들 사이의 거리 관계를 유지하고 있는 투영 기법을 찾는다. 결국 본 논문에서는 고차원 얼굴 표정 데이터를 저차원 공간에 투영하기 위한 선형 및 비선형 투영 기법들을 비교 분석하고, 각각에서 최적의 투영 기법을 찾아낸다.

• 패션비즈니스
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• 제13권3호
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• pp.12-24
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• 2009

This paper aims to investigate if a total of 266 college students from Yanbian, China, and Korea's Jeonnam Province are satisfied with their face and body type, and to find out an image-development method, depending on body characteristics. For this, a questionnaire survey using the 5-point Likert Scale was conducted, and an SPSS program has been used for data analysis. Besides the descriptive analysis, crosstab analysis, t-verification, and frequency analysis have been conducted. As body shape, posture, costume, accessories and makeup play an important role in image formation, this paper intends to form positive ego through exact awareness of the body shape by providing base data to a set image-development strategy. Then, the result has turned out as follows: First, in terms of the body index (i.e., Rohrer index), both Korea's Jeonnam Province and China's Yanbian college students were included in a category of the mean value. In terms of satisfaction with their body shape, on the contrary, China's China's Yanbian college students were higher than Korea's Jeonnam Province college students. Second, male China's Yanbian college students were slightly higher than female China's Yanbian college students in terms of satisfaction with their facial shape. However, the male students showed no big interest in facial care. Third, in terms of facial shape, an egg-shaped face was the most preferred in both China's Yanbian and Korea's Jeonnam Province college students, followed by an inverted triangle-shaped face in China's Yanbian college students and a diamond-shaped face in Korea's Jeonnam Province college students, showing significant difference ($p{\le}.001$). Even though both college students live in Northeast Asia, their preference on facial shape turned out to greatly differ, which indicates their different social environments. This paper will be helpful in global marketing for college students who are the major consumers in the future as Korean-Chinese exchange increases.

• 한국지능시스템학회논문지
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• 제15권2호
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• pp.191-196
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• 2005

칼라 영상을 이용한 감정 인식 기술은 사회의 여러 분야에서 필요성이 대두되고 있음에도 불구하고 인식 과정의 어려움으로 인해 풀리지 않는 문제로 남아있다. 특히, 얼굴 영상을 이용한 감정 인식 기술은 많은 응용이 가능하기 때문에 개발의 필요성이 증대되고 있다. 얼굴 영상을 이용하여 감정을 인식하는 시스템은 매우 다양한 기법들이 사용되는 복합적인 시스템이다. 따라서, 이를 설계하기 위해서는 얼굴 영상 분석, 특징 벡터 추출 및 패턴 인식 등 다양한 기법의 연구가 필요하다. 본 논문에서 이전에 연구된 얼굴 영상 기법들을 바탕으로 한 새로운 감정 인식 시스템을 제안한다. 제안된 시스템은 감정 분석에 적합한 퍼지 이론을 바탕으로 한 퍼지 분류기를 이용하여 감정을 인식한다. 제안된 시스템의 성능을 평가하기 위해 평가데이터 베이스가 구축되었으며, 이를 통해 제안된 시스템의 성능을 평가하였다.

• 대한치과보철학회지
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• 제42권5호
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• pp.524-534
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• 2004

Statement of problem: The meaning of the beauty has a little different nature according to a time, culture, and nation. Purpose : This study was undertaken to estimate the geometric esthetic criteria for Korean woman by analysis of facial photograph in a smiling. Material and methods: The facial photographs of 678 Korean beautiful woman were collected from Miss Korea candidates(from 1971 to 2003 year). The dento-facial composition was measured and analyzed geometrically on computer monitor using $Adobe^{(R)}$ $Photoshop^{(R)}$ 7.0. The statistical significance of the differences among the 4 decade groups was estimated by a $x^2$ test. Result : The Korean beautiful woman skewed the geometric characteristics such as the 'coincidence' (83.0%) between facial midline and dental midline, the 'normal' (96.9%) alignment and arrangement of upper anterior teeth. the 'average' (79.1%) position and 'upward' (53.4%) curvature of upper lip, the 'parallel' (85.7%) relationship between the lower lip and upper anterior incisal curvature, the 'touching' (49.9%) and 'not-touching' (44.8%) relationship between upper anterior incisor and towel lip, the 'first premolar' (54.1%) and 'second premolar' (38.9%) displayed in a smile, and the 'symmetry' (89.4%) of smile. There was statistical significance among the 4 decades in the respect of the upper lip curvature, the relationship between upper anterior incisor and lower lip, and the most posterior teeth displayed in a smile (p<0.05). Conclusion : The Korean beautiful woman showed similar results to the western esthetic criteria in the some respects and the tendency that the Korean woman had more active smiling recently.