• Journal of the Korea Society of Computer and Information
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• v.10 no.6 s.38
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• pp.1-8
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• 2005

Facial analysis is used in many applications like face recognition systems, human-computer interface through head movements or facial expressions, model based coding, or virtual reality. In all these applications a very precise extraction of facial feature points are necessary. In this paper we presents a method for automatic extraction of the facial features Points such as mouth corners, eye corners, eyebrow corners. First, face region is detected by AdaBoost-based object detection algorithm. Then a combination of three kinds of feature energy for facial features are computed; valley energy, intensity energy and edge energy. After feature area are detected by searching horizontal rectangles which has high feature energy. Finally, a corner detection algorithm is applied on the end region of each feature area. Because we integrate three feature energy and the suggested estimation method for valley energy and intensity energy are adaptive to the illumination change, the proposed feature extraction method is robust under various conditions.

• The Journal of Korean Medicine Ophthalmology and Otolaryngology and Dermatology
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• v.23 no.2
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• pp.174-185
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• 2010

Objective : In period of convalescence and aftereffect, facial palsy patients suffer from social and psychological problems, besides experiencing physical inconvenience. So Quality of life is important Evaluation in treatment or facial palsy. Nevertheless the aims of recent study were only trying to explain about objective symptoms. Therefore, Oriental-Western Medicine was performed, effectiveness of treatment were measured in Quality of life. Methods : Acute facial palsy patients who visiting whin 5days completed questionnaire about Quality of life, if he(or she) participated voluntarily. Questionnaire are comprised of general characteristics, Facial Disability Index(FDI), WHOQOL-BREF, VAS and House-Brackmann grade. Questionnaire used two times, the first medical examination and 4weeks later after starting Oriental-Western Medicine. The statistical analysis was performed by GraphPad Prism 4.0. T-test was used to verify effectiveness between the two groups. Results : 1. When we compared the first medical examination with 4weeks later, score of FDI-Physical function and FDI-Social/Well-bieng function increased but they were not valid statistically. 2. When we compared the first medical examination with 4weeks later, in WHOQOL-Brefoverall domain and physical domain, score increased. In WHOQOL-Bref-psychological, Social, Environment domain, score decreased. but, they were not valid statistically. 3. VAS, House-Brackmann grade decreased, but, they were not valid statistically. Conclusion : The number of subjects with facial palsy in our study(N=5) was too small, and the period of study(4 weeks) was short, too. For this reason, our data were not valid statistically. But Facial palsy Patient's Quality of life has risen.

• Journal of the Korea Computer Graphics Society
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• v.18 no.3
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• pp.9-16
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• 2012

In this paper, we present a new method for reconstructing detailed facial expression from roughly captured data with a small number of markers. Because of the difference in the required capture resolution between the full-body capture and the facial expression capture, they hardly have been performed simultaneously. However, for generating natural animation, a simultaneous capture for body and face is essential. For this purpose, we provide a method for capturing the detailed facial expression only with a small number of markers. Our basic idea is to build a database for the facial expressions and apply the principal component analysis for reducing the dimensionality. The dimensionality reduction enables us to estimate the full data from a part of the data. We justify our method by applying it to dynamic scenes to show the viability of the method.

• Archives of Plastic Surgery
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• v.42 no.1
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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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• v.8 no.5
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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.

• Journal of KIISE:Computing Practices and Letters
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• v.11 no.3
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• pp.284-291
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• 2005

I propose a framework for detecting, recognizing and classifying facial features based on learned expression patterns. The framework recognizes facial expressions by using PCA and expression HMM(EHMM) which is Hidden Markov Model (HMM) approach to represent the spatial information and the temporal dynamics of the time varying visual expression patterns. Because the low level spatial feature extraction is fused with the temporal analysis, a unified spatio-temporal approach of HMM to common detection, tracking and classification problems is effective. The proposed recognition framework is accomplished by applying posterior probability between current visual observations and previous visual evidences. Consequently, the framework shows accurate and robust results of recognition on as well simple expressions as basic 6 facial feature patterns. The method allows us to perform a set of important tasks such as facial-expression recognition, HCI and key-frame extraction.

• Journal of Pharmacopuncture
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• v.21 no.4
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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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• v.24 no.5
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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

• Journal of the Korea Academia-Industrial cooperation Society
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• v.15 no.4
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• pp.2150-2159
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• 2014

This study was designed to investigate the status of orthodontic treatment and facial plastic surgery among 389 patients who visited dental clinics located in Seoul and Gyeonggi Province. After the collection of data, an analysis was carried out using a spss statistical program. The analysis results are as follows. the level of satisfaction with orthodontic treatment from patients with experience of the orthodontic treatment turned out to be high(p<0.01). Women considered 3.01 to 4 million won to be reasonable cost for orthodontic treatment (p<0.05), which is higher cost recognized by men, and patients with experience of orthodontic treatment recognized 19 to 24 months as the proper orthodontic treatment period(p<0.01). In addition, women showed higher figures than men in their awareness on the need for orthodontic treatment checkups(p<0.001), and facial plastic surgery experience (p<0.01). With respect to the part of the face on which they hoped to have plastic surgery, eye plastic surgery was higher in women (p<0.01), and nose surgery turned out to be higher in patients with experience of orthodontic treatment(p<0.05). Meanwhile, women considered the eye as the most important part among other facial areas (p<0.001), and they recognized that dentist should perform plastic surgery on both jaws among facial areas(p<0.01). In conclusion, the dental medical staff should provide consultations and operate treatment systems in consideration of gender differences and needs of dental patients. In the case of orthodontic treatment for the improvement of facial appearance, especially double jaw surgery which is closely related to the oral function, professional dental medical staff needs to perform the operation, considering the special oral environment. In addition, it is determined that provision of relevant medical information and promotion of dental service is required to provide patients with correct knowledge about orthodontic treatment and facial plastic surgery.

• The Journal of the Korea Contents Association
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• v.9 no.9
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• pp.97-104
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• 2009

This paper describes comparison and analysis of methodology which enables us in order to search the projection technique of optimum for projection in the plane. For this methodology, we applies the high-dimensional facial motion capture data respectively in linear and nonlinear projection techniques. The one core element of the methodology is to applies the high-dimensional facial expression data of frame unit in PCA where is a linear projection technique and Isomap, MDS, CCA, Sammon's Mapping and LLE where are a nonlinear projection techniques. And another is to find out the methodology which distributes in this low-dimensional space, and analyze the result last. For this goal, we calculate the distance between the high-dimensional facial expression frame data of existing. And we distribute it in two-dimensional plane space to maintain the distance relationship between the high-dimensional facial expression frame data of existing like that from the condition which applies linear and nonlinear projection techniques. When comparing the facial expression data which distribute in two-dimensional space and the data of existing, we find out the projection technique to maintain the relationship of distance between the frame data like that in condition of optimum. Finally, this paper compare linear and nonlinear projection techniques to projection high-dimensional facial expression data in low-dimensional space and analyze it. And we find out the projection technique of optimum from it.