• 융합보안논문지
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• 제14권5호
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• pp.17-24
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• 2014

본 논문에서는 얼굴 표정 인식을 위한 지역미세패턴(local micro pattern)의 하나인 LBP(Local Binary Pattern) 코드의 잡음에 대한 단점을 해결하기위하여 새로운 미세패턴 방법인 LDP(Local Directional Pattern)를 제안한다. 제안된 방법은 LBP의 문제점을 해결하기 위해 $m{\times}m$ 마스크를 이용하여 8개의 방향 성분을 구하고, 이를 크기에 따라서 정렬한 후 상위 k개를 선정하여 해당 방향을 나타내는 비트를 1로 설정한다. 그리고 8개의 방향 비트를 순차적으로 연결하여 최종 패턴 코드를 생성한다. 실험결과, 제안된 방법은 기존 방법에 비해 회전에 대한 영향이 적으며, 잡음에 대한 적응력이 현저히 높았다. 또한, 제안된 방법을 기반으로 얼굴의 영구적인 특징과 일시적인 특징을 함께 표현하는 새로운 지역미세패턴의 개발이 가능함을 확인하였다.

• 융합보안논문지
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• 제14권5호
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• pp.49-56
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• 2014

본 논문에서는 기존의 제안된 LDP(Local Directional Pattern)에 기반하여 지역적인 얼굴특징을 표현하는 방법을 제안한다. 제안된 방법은 눈과 입과 같은 얼굴의 영구적인 특징과 표정이 변하면서 발생하는 일시적인 특징을 효과적으로 표현할 수 있도록 얼굴특징별로 크기와 형태를 달리하는 중첩 가능한 블록을 설정하고 이를 바탕으로 얼굴 특징벡터를 구성한다. 제안된 중첩 블록설정 및 특징 표현 방법은 기하학적 특징을 기반으로 하는 접근 방법의 장점을 수용할 뿐만 아니라 각 얼굴특징의 움직임 특성을 이용하여 얼굴검출에 대한 오류를 수용할 수 있고, 블록사이즈의 가변성으로 인한 공간정보를 유지할 수 있어 표본오차를 줄일 수 있는 장점이 있다. 실험결과, 제안된 방법은 기존 방법에 비해 인식률이 향상됨을 확인하였고, 기존 얼굴 특징 벡터보다 길이가 짧기 때문에 연산량 또한 감소하는 것을 확인하였다.

• 대한치과교정학회지
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• 제18권2호
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• pp.475-488
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• 1988

Certain malocclusion are associated with specific "facial type," and it is important for the clinician to classify the common facial characteristic of each patient. Because the reaction to treatment mechanics and the stability of the denture is depended upon the analysis of the facial pattern. Basically, there are 3 district facial types or patterns under which almost all malocclusion can be classified. 1. mesofacial is the most average growth. 2. brachyfacial which is a horizontal growth pattern has a week muscle, with dental arch, deep bite. 3. dolichofacial which is a vertical growth pattern has a strong muscle, narrow dental arch, open bite. Brachyfacial pattern show a resistant to mandibular rotation during treatment can accept a more protrusive denture and are prominantly nonextraction, whereas dolichofacial patterns tend to open during treatment require a more retracted denture in order to assure post-treatment stability. Brachyfacial pattern would better treat to use extrusive force system, whereas dolichofacial pattern treat to use intrusive force system with head gear and intermaxillary elastics.

• ETRI Journal
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• 제35권6호
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• pp.1021-1028
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• 2013

Automatic facial expression recognition is a widely studied problem in computer vision and human-robot interaction. There has been a range of studies for representing facial descriptors for facial expression recognition. Some prominent descriptors were presented in the first facial expression recognition and analysis challenge (FERA2011). In that competition, the Local Gabor Binary Pattern Histogram Sequence descriptor showed the most powerful description capability. In this paper, we introduce hybrid facial representations for facial expression recognition, which have more powerful description capability with lower dimensionality. Our descriptors consist of a block-based descriptor and a pixel-based descriptor. The block-based descriptor represents the micro-orientation and micro-geometric structure information. The pixel-based descriptor represents texture information. We validate our descriptors on two public databases, and the results show that our descriptors perform well with a relatively low dimensionality.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제11권9호
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• pp.4549-4566
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• 2017

This work presents a novel facial descriptor, which is named as multiscale adaptive local directional texture pattern (MALDTP) and employed for expression recognition. We apply an adaptive threshold value to encode facial image in different scales, and concatenate a series of histograms based on the MALDTP to generate facial descriptor in term of Gabor filters. In addition, some dedicated experiments were conducted to evaluate the performance of the MALDTP method in a person-independent way. The experimental results demonstrate that our proposed method achieves higher recognition rate than local directional texture pattern (LDTP). Moreover, the MALDTP method has lower computational complexity, fewer storage space and higher classification accuracy than local Gabor binary pattern histogram sequence (LGBPHS) method. In a nutshell, the proposed MALDTP method can not only avoid choosing the threshold by experience but also contain much more structural and contrast information of facial image than LDTP.

• 대한한의학회지
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• 제42권4호
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• pp.102-119
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• 2021

Objectives: Facial diagnosis is an important part of clinical diagnosis in traditional East Asian Medicine. In this paper, using a fully automated facial shape analysis system, we show that facial morphological features are associated with cold pattern. Methods: The facial morphological features calculated from 68 facial landmarks included the angles, areas, and distances between the landmark points of each part of the face. Cold pattern severity was determined using a questionnaire and the cold pattern scores (CPS) were used for analysis. The association between facial features and CPS was calculated using Pearson's correlation coefficient and partial correlation coefficients. Results: The upper chin width and the lower chin width were negatively associated with CPS. The distance from the center point to the middle jaw and the distance from the center point to the lower jaw were negatively associated with CPS. The angle of the face outline near the ear and the angle of the chin line were positively associated with CPS. The area of the upper part of the face and the area of the face except the sensory organs were negatively associated with CPS. The number of facial morphological features that exhibited a statistically significant correlation with CPS was 37 (unadjusted). Conclusions: In this study of a Korean population, subjects with a high CPS had a more pointed chin, longer face, more angular jaw, higher eyes, and more upward corners of the mouth, and their facial sensory organs were relatively widespread.

• 융합보안논문지
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• 제14권7호
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• pp.23-28
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• 2014

본 논문에서는 기존에 제안된 LDP(Local Directional Pattern)를 기반으로 얼굴 표정 인식 시스템에 대한 설계 및 구현 방법을 제안한다. LDP는 얼굴 영상을 구성하고 있는 각 화소를 주변 화소들과의 관계를 고려하여 지역적인 미세 패턴(Local Micro Pattern)으로 표현해준다. 새롭게 제시된 LDP에서 생성되는 코드들이 다양한 조건하에서 정확한 정보를 포함할 수 있는지의 여부를 검증할 필요가 있다. 따라서, 새롭게 제안된 지역 미세 패턴인 LDP를 다양한 환경에서 신속하게 검증하기 위한 평가 시스템을 구축한다. 제안된 얼굴 표정인식 평가 시스템에서는 6개의 컴포넌트를 거쳐 얼굴 표정인식률을 계산할 수 있도록 구성하였으며, Gabor, LBP와 비교하여 LDP의 인식률을 검증한다.

• 대한한의학회지
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• 제27권2호
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• pp.244-252
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• 2006

Objectives : To examine any potential relationships between the types of alopecia and the facial heat distribution in patients with alopecia. Methods : 183 patients with alopecia participated in this study to provide facial heat distribution measured by the Infrared Thermography Scanner (ITS, Nec San-ei Instruments Ltd, Japan). The thermography scan was used in a light- and heat-protected room after 20 minutes' of rest. 1.5m of distance was maintained between the patients and the scanner. Results : Specificity in the type of facial heat distribution was found as follow. 1. Types of facial heat distribution can be classified as T-type and diffused patterns. 2. There was a significant difference in the pattern of facial heat distribution among different types of alopecia (p=0.002): facial heat distribution appeared T-type in androgenic alopecia, alopecia areata, and telogen effluvium (71.3%, 85.7%, 70.4%), whereas diffused pattern was dominant in seborrheic alopecia (55.6%). 3. There was a significant difference in the pattern of facial heat distribution between men and women (p<0.001) : While the T-type and diffused type appeared equally in men (50.6% : 49.4%), T-type was dominant in women (88.0% vs. 12.0%). Conclusions : We conclude that the pattern of facial heat distribution differs depending on the types of alopecia and gender. These differences may provide useful information for diagnosis and clinical therapy for this population.

• 대한치과교정학회지
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• 제37권3호
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• pp.192-203
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• 2007

본 연구는 비폐쇄를 보이는 III급 부정교합아동에서, 기도 공간의 형태와 안모 골격 형태 사이의 상관관계를 평가하였다. III급 부정교합을 보이며, 비폐쇄 소견을 보여 이비인후과로 의뢰된 환아 100명의 초진 측모 두부 규격 방사선 사진에서 상 인두기도 공간(upper PAS), 하 인두기도 공간(lower PAS), 편도의 크기, 구개-혀 공간을 측정하여 기도 공간 형태를 분석하였으며, 통상적인 계측점을 사용하여 안면 골격 분석을 시행하여 기도 공간 형태 계측항목과 안면 골격분성 항목간의 상관관계를 연구하여 다음과 같은 결과를 얻었다. Upper PAS는 ramal height, SNA, SNB, PFH, FHR, facial plane angle 항목과 양의 상관관계를 보였으며, saddle angle, articular angle, gonial angle의 sum, SN-GoGn, Y-axis to SN, FMA 항목과 음의 상관관계를 보였다. Lower PAS는 genial angle, FMA와 양의 상관관계를 보였으며, articular angle, facial depth, PFH, FHR와 음의 상관관계를 보였다. 편도의 크기는 PCBL, ramal height, Mn. body length, Mn. body length to ACBL, facial depth, facial length, PFH, AFH와 양의 상관관계를 보였다. 구개-혀 공간은 saddle angle, articular angle, genial angle의 합, facial length, AFH, FMA, LFH와 양의 상관관계를 보였으며, IMPA, overbite와 음의 상관관계를 보였다.

• 대한한방체열의학회지
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• 제5권1호
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• pp.78-86
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• 2006

Objectives: To examine any potential relationships between the types of alopecia and the facial heat distribution in patients with alopecia Methods: 183 patients with alopecia participated in this study to provide facial heat distribution measured by the Infrared Thermography Scanner (ITS, Nec San-ei Instruments Ltd, Japan). The thermography scan was used in a light-and heat-protected room after 20 minutes’of resting period. 1.5m of distance maintained between the patients and ITS. Results: Specificity in the type of facial heat distribution was found as follow. 1. Types of facial heat distribution can be classified as T-type and diffused patterns. 2. There was a significant difference in the pattern of facial heat distribution among different types of alopecia (p=0.002): facial heat distribution appeared T-type in Androgenic Alopecia, Alopecia Areata, and Telogen Effluvium (71.3%, 85.7%, 70.4%), whereas diffused pattern was dominant in Seborrheic Alopecia(55.6%). 3. There was a significant difference in the pattern of facialheat distribution between men and women (p<0.001): While the T-type and diffused type were equally appeared in men (50.6%: 49.4%), T-type was dominant in women (88.0% vs. 12.0%). Conclusions: We conclude that the pattern of facial heat distribution differs depends on the types of alopecia and gender. These differences may provide useful information for the diagnosis and clinical therapy for this population.