• Journal of the Korean Society of Clothing and Textiles
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• v.43 no.6
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• pp.930-940
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• 2019

This study analyzes the facial data required for sheet design in order to pursue the facial compatibility of disposable sheets used in facial mask products that are increasing in popularity as self-care methods. The subjects of the study were 23 facial measurements of 1,001 women in their 20s to 60s from Size Korea's 6th 3D data. Through factor analysis, sheet-related facial measurements were collected into six factors included in the vertical length of each part of the face: length of face surface from the ear to each part of the face, width of eyes, nose, lips, length of nose, vertical length of lower face, width of the head and width of chin. Three sheet face types were classified using six factor scores as variables, and the characteristics of each type differed according to age group. As a result of the discriminant analysis to identify the dimension items that classify the three cluster types, 12 contributing items were extracted out of 23 items. This study provides useful information and data for further studies of products requiring facial fitness.

• The Journal of Advanced Prosthodontics
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• v.2 no.3
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• pp.106-110
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• 2010

The severe wear of anterior teeth facilitates the loss of anterior guidance, which protects the posterior teeth from wear during excursive movement. The collapse of posterior teeth also results in the loss of normal occlusal plane and the reduction of the vertical dimension. This case report describes 77-year-old female, who had the loss of anterior guidance, the severe wear of dentition, and the reduction of the vertical dimension. Occlusal overlay splint was used after the decision of increasing vertical dimension by anatomical landmark, facial and physiologic measurement. Once the compatibility of the new vertical dimension had been confirmed, interim fixed restoration and the permanent reconstruction was initiated. This case reports that a satisfactory clinical result was achieved by restoring the vertical dimension with an improvement in esthetics and function.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.13 no.4
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• pp.2129-2147
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• 2019

This paper introduces an adaptive face recognition method based on a Novel Incremental Kernel Nonparametric Discriminant Analysis (IKNDA) that is able to learn through time. More precisely, the IKNDA has the advantage of incrementally reducing data dimension, in a discriminative manner, as new samples are added asynchronously. Thus, it handles dynamic and large data in a better way. In order to perform face recognition effectively, we combine the Gabor features and the ordinal measures to extract the facial features that are coded across local parts, as visual primitives. The variegated ordinal measures are extraught from Gabor filtering responses. Then, the histogram of these primitives, across a variety of facial zones, is intermingled to procure a feature vector. This latter's dimension is slimmed down using PCA. Finally, the latter is treated as a facial vector input for the advanced IKNDA. A comparative evaluation of the IKNDA is performed for face recognition, besides, for other classification endeavors, in a decontextualized evaluation schemes. In such a scheme, we compare the IKNDA model to some relevant state-of-the-art incremental and batch discriminant models. Experimental results show that the IKNDA outperforms these discriminant models and is better tool to improve face recognition performance.

• The Journal of Korean Academy of Prosthodontics
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• v.33 no.1
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• pp.75-84
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• 1995

This study was designed as a reference of vertical dimension in prosthetic treatment. The author analyzed six facial measurements, namely, (1) the height of lower face at maximum intercuspal position, (2) the height of lower face at resting position, (3) midface, (4) external ear and lateral wall of orbit, (5) interpupillary distance, (6) distance between pupil and mouth in the 100 Won-kwang Univ. Dental collage students(50 : male, 50 : female), who have normal occlusion, no posterior prosthesis, no experience of orthodontic treatment, and no deformity of facial soft tissue and no temporomandibular dysfunction. The results of this study were as follows : 1. The length of midface was shortest and the inter-pupillary distance was longest in both male and female. 2. The length difference with the length of midface and lower face at maximum intercuspal position was 5.64mm in male and 2.23mm in female, so the lower face was longer, 3. The facial measuring component, similar to lower face at maximum intercuspation, was the length of between medial wall of external ear and lateral wall of orbit. It's difference was 1.3mm in male, 1.77mm in female, and the lower face was shorter. 4. The difference of lower facial length in resting position and maximum intercuspation was 2.48mm in male, 2.24mm in female, the length of resting position was therefore longer. 5. The most clost correlation with the height of maximum intercuspal positioning lower face was resting lower face in both groups.

• The Journal of Korean Academy of Prosthodontics
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• v.35 no.1
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• pp.211-220
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• 1997

This article describes verticsal dimension in its histologic and clinical aspect. Determination of correct vertical dimension of occlusion is one of the most important steps in prosthodontic rehabilitation. It is considered essential for improvement of facial esthetics and stomatognatic functions. Many techniques have been sued for measurement of the vertical dimension in dentulous and edentulous patients : pre-extraction record, physiologic rest position, swallowing, phonetics, esthetics, etc. But, there is no universally accepted or completely accurate method. Though a great deal of energy has been spent trying to find the exact position of the mandible, there is an controversial aspect of vetical dimension.

• The Journal of the Korean dental association
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• v.54 no.6
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• pp.438-446
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• 2016

Severe tooth wear may cause the pathologic change of the TMJ and masticatory muscles, unesthetic facial appearance, pathogenic pulp and occlusal disharmony. Treating patients with severely worn dentition often requires full mouth rehabilitation with increasing vertical dimension. Proper diagnosis and treatment planning are important for esthetic and functional definitive restorations and the long term stability of the neuromuscular system and the TMJ. In this case, 66 year-old female presented with generalized worn dentition. Based on assessment, pathologic destruction of teeth structure on entire dentition was caused by masticatory force and diet habit without loss of vertical dimension. Subsequently, 3 mm increase of vertical dimension that based on incisor for tooth restoration and esthetic improvement was determined. After 8 weeks stabilization period with temporary fixed prostheses, definitive prostheses were fabricated. After 6 months follow up period, satisfactory outcomes were attained both functional and esthetic aspects through this procedure.

• Journal of the korean academy of Pediatric Dentistry
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• v.33 no.1
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• pp.103-108
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• 2006

Loss of permanent molar by multiple dental caries traumatic influence or hereditable disease can cause loss of the vertical dimension in children. However traditionally reconstructive treatment to restore vertical dimension in children has been provided by using simple methods such as celluloid crown form and stainless steel crown. The presented case report describes an alternative treatment modality of vertical dimension by using removalbe appliance This appliance is made with average of facial height and maximal clenching force by using T-scan.

• Journal of Institute of Control, Robotics and Systems
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• v.13 no.8
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• pp.754-759
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• 2007

In this paper, we proposed the Bi-Modal Sensor Fusion Algorithm which is the emotional recognition method that be able to classify 4 emotions (Happy, Sad, Angry, Surprise) by using facial image and speech signal together. We extract the feature vectors from speech signal using acoustic feature without language feature and classify emotional pattern using Neural-Network. We also make the feature selection of mouth, eyes and eyebrows from facial image. and extracted feature vectors that apply to Principal Component Analysis(PCA) remakes low dimension feature vector. So we proposed method to fused into result value of emotion recognition by using facial image and speech.

• Korean Journal of Cognitive Science
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• v.12 no.1_2
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• pp.77-89
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• 2001

Applying perceptual hierarchy of facial feature points, a neural network model for recognizing facial expressions was designed. Input data were convolution values of 150 facial expression pictures by Gabor-filters of 5 different sizes and 8 different orientations for each of 39 mesh points defined by MPEG-4 SNHC (Synthetic/Natural Hybrid Coding). A set of multiple regression analyses was performed with the rating value of the affective states for each facial expression and the Gabor-filtered values of 39 feature points. The results show that the pleasure-displeasure dimension of affective states is mainly related to the feature points around the mouth and the eyebrows, while a arousal-sleep dimension is closely related to the feature points around eyes. For the filter sizes. the affective states were found to be mostly related to the low spatial frequency. and for the filter orientations. the oblique orientations. An optimized neural network model was designed on the basis of these results by reducing original 1560(39x5x8) input elements to 400(25x2x8) The optimized model could predict human affective rating values. up to the correlation value of 0.886 for the pleasure-displeasure, and 0.631 for the arousal-sleep. Mapping the results of the optimized model to the six basic emotional categories (happy, sad, fear, angry, surprised, disgusted) fit 74% of human responses. Results of this study imply that, using human principles of recognizing facial expressions, a system for recognizing facial expressions can be optimized even with a a relatively little amount of information.

• The Journal of Korean Academy of Prosthodontics
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• v.60 no.4
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• pp.404-411
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• 2022

The patient in this case was an 80-year-old female who had lost #16, 13, 26, 37, 36, 35, 44, 45, 46, 47 teeth. The patient showed loss of posterior support, loss of vertical dimension of occlusion, and deep anterior overbite. Her chief complaint was esthetic and functional discomfort. She wanted to restore normal facial aesthetic shape and masticatory function through prosthetic treatment. Clinical evaluation, radiographic examinations, and facial and oral analysis were performed. Interocclusal rest space was excessive than the average. Distance between labial vestibules and zenith of central incisors, and lower facial ratio were below the average. Taken together, occlusal rehabilitation was determined through increasing 4 mm of vertical dimension on premolars. In this case, a patient who lacked restoration space with deep bite in the anterior region due to loss of the posterior teeth support restored a stable occlusal relationship and harmonious anterior and lateral guidance through fixed and removable prosthesis with increased vertical dimension.