• Annals of Clinical Neurophysiology
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• v.10 no.1
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• pp.38-42
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• 2008

Background: Idiopathic facial nerve palsy, or Bell's palsy (BP), is a common and important disease. Recurrent Bell's palsy has been known as a rare entity with only a few cases in the literature. Methods: A total of 111 consecutive patients with acute BP patients were enrolled at Daegu Catholic University Hospital from July 2005 to March 2007. We classified the patients into two groups - single BP and recurrent BP - and compared them by demographic data, clinical features, MRI findings and prognosis. The degree of BP was graded according to the House and Brackmann facial nerve grading system. Results: Recurrent BP was observed in 10 (9%) patients. The number of recurrence was varied from 2 to 5. The mean age of first attack in recurrent BP was $35.70{\pm}23.65$ years old and was earlier than that of the single BP ($50.94{\pm}16.21$ year). The larger proportion of the single BP had an abnormal enhancement of affected facial nerve (91.3%) than the recurrent BP (50%). The recurrent BP showed worse prognosis than the single BP. The associated conditions, etiology, and clinical features were similar between two groups. Conclusions: In comparison with single BP, recurrent BP showed earlier onset of first BP attack, less frequent abnormal enhancement of facial nerve on MRI, and worse prognosis.

• Journal of the Korean Institute of Intelligent Systems
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• v.19 no.6
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• pp.834-839
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• 2009

It is a key element that the problem of emotional feature extraction based on facial image to recognize a human emotion status. In this paper, we propose an Advanced AAM that is improved version of proposed Facial Expression Recognition Systems based on Bayesian Network by using FACS and AAM. This is a study about the most efficient method of optimal facial feature area for human emotion recognition about random user based on generalized HCI system environments. In order to perform such processes, we use a Statistical Shape Analysis at the normalized input image by using Advanced AAM and FACS as a facial expression and emotion status analysis program. And we study about the automatical emotional feature extraction about random user.

• International Journal of Computer Science & Network Security
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• v.23 no.9
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• pp.166-176
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• 2023

A scenario known as conflict in face recognition may arise as a result of some disparity-related issues (such as expression, distortion, occlusion and others) leading to a compromise of someone's identity or contradiction of the intended message. However, addressing this requires the determination and application of appropriate procedures among the various conflict theories both in terms of concepts as well as resolution strategies. Theories such as Marxist, Game theory (Prisoner's dilemma, Penny matching, Chicken problem), Lanchester theory and Information theory were analyzed in relation to facial images conflict and these were made possible by trying to provide answers to selected questions as far as resolving facial conflict is concerned. It has been observed that the scenarios presented in the Marxist theory agree with the form of resolution expected in the analysis of conflict and its related issues as they relate to face recognition. The study observed that the issue of conflict in facial images can better be analyzed using the concept introduced by the Marxist theory in relation to the Information theory. This is as a result of its resolution strategy which tends to seek a form of balance as result as opposed to the win or lose case scenarios applied in other concepts. This was also consolidated by making reference to the main mechanisms and result scenario applicable in Information theory.

• Journal of rehabilitation welfare engineering & assistive technology
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• v.11 no.2
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• pp.179-186
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• 2017

Because facial asymmetry is caused by various causes, the cause analysis is important and quantitative index is needed to the evaluation. In this study, we applied the Nottingham Grading System that was used as a quantitative index to evaluate the facial paralysis by tracking the markers through the image processing and calculating the distance between the markers with images obtained by using the webcam, to evaluate facial asymmetry. The existing Nottingham Grading System has a problem of causing a measurement error in the specific case because the left and right are compared by summing the distance change between the feature points of the face part according to the change of the facial expression. We compared the case of the facial asymmetry and case of normal subject by using the existing Nottingham Grading System and the improved Nottingham grading system. In the existing Nottingham Grading System, case of facial asymmetry and case of facial symmetry were 99.0% and 95.0% respectively in the normal range, but the improved Nottingham Grading System showed facial asymmetry case was 74.0% and facial symmetrical case was 93.2%. The results of experiment show that the improved Nottingham Grading System allows detailed evaluation of each site and improved the problem of the Nottingham Grading System for specific cases.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.3 no.2
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• pp.321-327
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• 1999

In this progressed super-impose individual recognition system, the photograph of a skull was caught by CCD-camcoder with the MPEG, and an ante-mortem photograph was read by scanner. These two images were processed and superimposed using horizontal angle and vertical angle of face using the forensic dental medicine theory. The enhancement of super-impose individual recognition by anatomical references was performed on the two superimposed images of the same angle using the facial triangle and histogram analysis scheme.

• Electronics and Telecommunications Trends
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• v.34 no.2
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• pp.29-39
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• 2019

The interest in facial recognition technology has been growing with the advancement of AI technology. With a confirmed accuracy of over 99%, the areas of application of the technology have expanded, including smartphone unlocking, online payment authorization, building access management, and criminal apprehension. This indicates that the technology has effectively transitioned from laboratory to field applications. This study performs patent analysis to determine recent innovations and diffusion trends in facial recognition technology. Specifically, R&D activities involving facial recognition technology are investigated at both the country level and company level. Significant patents are also considered. This study contributes to R&D management teams by proposing useful plans and strategies.

• Proceedings of the Korea Information Processing Society Conference
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• 2011.11a
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• pp.351-354
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• 2011

This paper discusses on facial features extraction based on proposed skin color model. Different parts of face from input image are segmented based on skin color model. Moreover, this paper also discusses on concept to detect the eye and mouth position on face. A height and width ratio (${\delta}=1.1618$) based technique is also proposed to accurate detection of face region from the segmented image. Finally, we have cropped the desired part of the face. This exactly exacted face part is useful for face recognition and detection, facial feature analysis and expression analysis. Experimental results of propose method shows that the proposed method is robust and accurate.

• Investigative Magnetic Resonance Imaging
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• v.19 no.3
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• pp.162-167
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• 2015

Purpose: To evaluate the usefulness of quantitative analysis of the facial nerve using contrast-enhanced three-dimensional (CE 3D) fluid-attenuated inversion recovery-volume isotopic turbo spin echo acquisition (FLAIR-VISTA) for the diagnosis of Bell's palsy in pediatric patients. Materials and Methods: Twelve patients (24 nerves) with unilateral acute facial nerve palsy underwent MRI from March 2014 through March 2015. The unaffected sides were included as a control group. First, for quantitative analysis, the signal intensity (SI) and relative SI (RSI) for canalicular, labyrinthine, geniculate ganglion, tympanic, and mastoid segments of the facial nerve on CE 3D FLAIR images were measured using regions of interest (ROI). Second, CE 3D FLAIR and CE T1-SE images were analyzed to compare their diagnostic performance by visual assessment (VA). The sensitivity, specificity, and accuracy of RSI measurement and VA were compared. Results: The absolute SI of canalicular and mastoid segments and the sum of the five mean SI (total SI) were higher in the palsy group than in the control group, but with no significant differences. The RSI of the canalicular segment and the total SI were significantly correlated with the symptomatic side (P = 0.028 and 0.015). In 11/12 (91.6%) patients, the RSI of total SI resulted in accurate detection of the affected side. The sensitivity, specificity, and accuracy for detecting Bell's palsy were higher with RSI measurement than with VA of CE 3D FLAIR images, while those with VA of CE T1-SE images were higher than those with VA of CE 3D FLAIR images. Conclusion: Quantitative analysis of the facial nerve using CE 3D FLAIR imaging can be useful for increasing the diagnostic performance in children with Bell's palsy when difficult to diagnose using VA alone. With regard to VA, the diagnostic performance of CE T1-SE imaging is superior to that of CE 3D FLAIR imaging in children. Further studies including larger populations are necessary.

• Journal of the Institute of Electronics Engineers of Korea SP
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• v.41 no.3
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• pp.35-49
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• 2004

This paper proposes a new glasses removal method from color frontal facial image to generate gray glassless facial image. The proposed method is based on recursive PCA reconstruction. For the generation of glassless images, the occluded region by glasses should be found, and a good reconstructed image to compensate with should be obtained. The recursive PCA reconstruction Provides us with both of them simultaneously, and finally produces glassless facial images. This paper shows the effectiveness of the proposed method by some experimental results. We believe that this method can be applied to removing other type of occlusion than the glasses with some modification and enhancing the performance of a face recognition system.

• Journal of Korean Neurosurgical Society
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• v.40 no.6
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• pp.445-449
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• 2006

Objective : The accurate anatomy of the facial nerve is essential for successful surgical outcome. The purpose of the present study is to know such information on the facial nerve from a series of specimens. Methods : This study is based on cadaveric dissection of 41 Korean fetus and stillborn infant and describes anatomical variations of the peripheral branches of the facial nerve that pose a importance in a number of neruosurgical procedure. Results : The branching patterns were classified into six types according to modified Davis classification : the frequencies of occurrence were : type I, 4.9%; type II, 24.4%; type III, 34.1%; type IV, 19.5%; type V, 12.2%; and type VI, 4.9%. Types II, III and IV together accounted for almost 80% of the specimens. Conclusion : Compared to previous adult and western stillborn fetus cadaveric studies, there was no significant difference in the percentage of the types between the subjects in the present study, similar pattern and anatomic distribution.