• Title/Summary/Keyword: facial characteristics

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An expanded juvenile ossifying fibroma in maxillary sinus:a case report

  • Chrcanovic, Bruno Ramos;Freire-Maia, Belini
    • Journal of the Korean Association of Oral and Maxillofacial Surgeons
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    • v.37 no.2
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    • pp.127-132
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    • 2011
  • Juvenile ossifying fibroma is an expansive intraosseous lesion of the bones. In most patients, the tumors are located in the facial bones. The main characteristics of juvenile ossifying fibroma are the early age of onset, localization of the tumor, radiological pattern and a tendency for recurrence. This article describes a case of expanded juvenile ossifying fibroma in the right maxilla in a 12-year old boy. The lesion was removed totally by surgery under general anesthesia. The patient showed no radiological signals of recurrence approximately two years after surgery.

Application of the height measurement method by Automatic Size, Position Adjustment (자동적인 위치, 배율 조정 기반의 용의자 계측 프로그램 개발)

  • Lee, Joong;Lee, Eung-Dae;Kim, Dong-Wook;Youn, Do-Young
    • Proceedings of the KIEE Conference
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    • 2003.11b
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    • pp.287-290
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    • 2003
  • Over the last few years computer based image processing has become more prominent in forensic science. The image quality from many CCTV systems is too poor for facial recognition. but there are other human characteristics which allow us to recognize individuals from a distance. one of these parameters is a human's height. In this paper, we propose useful height measurement method by auto Position, size adjustment which uses image superimposition and edge detection regardless of lens distortion and not uses conventional photogrammetry calibration methods.

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Face Recognition Using Frequency Characteristics of Facial Images (얼굴 영상의 주파수 특성을 이용한 얼굴 인식)

  • Choi, Jean;Chung, Yun-Su;Yoo, Jang-Hee
    • Proceedings of the IEEK Conference
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    • 2006.06a
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    • pp.395-396
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    • 2006
  • 본 논문에서는 얼굴 인식의 성능을 효율적으로 향상시키기 위하여 Discrete Cosine Transform (DCT)와 Principal Component Analysis(PCA)에 기반한 새로운 특징 추출 방법을 제안한다. 얼굴 영상의 공간 영역은 DCT를 이용하여 주파수 영역으로 변환되며, DCT 도메인에서 얼굴 영상이 갖는 고유한 주파수 특성을 최적화 하는 주파수 밴드 영역을 추출한다. 차원이 축소된 데이터는 PCA 를 이용하여 데이터의 변별력에 가장 적합한 얼굴의 특징을 추출하고 Nearest Neighbor Classification 을 통해 본인여부를 확인 한다. 실험 결과 제안된 방법은 데이터의 차원을 효과적으로 축소하면서 기존의 얼굴 인식 방법에 비해 높은 인식률 향상을 보였다.

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A PROPORTIONAL ANALYSIS OF SOFT TISSUE PROFILE IN KOREAN YOUNG ADULTS (성인 정상 교합자의 연조직 비율에 관한 두부 X-선 계즉학적 분석)

  • Lee, Jeong-Hwa;Nahm, Dong-Seok
    • The korean journal of orthodontics
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    • v.24 no.2
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    • pp.405-417
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    • 1994
  • The purpose of this study was to investigate proportional characteristics of soft tissue profile in Korean young adults. The sample consisted of 50 young adults(25 males and 25 females) who had pleasing profile and normal occlusion. Soft tissue proportional analysis was performed on lateral cephalograms taken in natural head position. The results were as follows : 1. Mean and standard deviation of proportional analysis were obtained. 2. Horizontal and vertical dimensions were larger in male. But facial proportion had no sexual difference except upper/lower face height (p<0.05). Upper/lower face height was larger in female than in male. 3. Vertical dimensions, except SN-ST, had high correlation with horizontal dimensions. 4. Head positioning error of natural head position was smaller than inter -individual variability of SN line.

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Mandibular Angle Reduction (하악 우각부 성형술)

  • Oh, Ji-Hyeon;Kim, Seong-Gon;Park, Young-Wook
    • The Journal of the Korean dental association
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    • v.58 no.2
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    • pp.114-122
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    • 2020
  • Aesthetic facial profile is mainly determined by cultural background. In some countries, prominent mandibular angle is considered as characteristics, whereas it is considered as unattractive in East Asian countries. Therefore, reduction surgery for prominent mandibular angle is one of the popular cosmetic surgery in theses countries. The anatomical component of the mandibular angle consists of masseter muscle and the angular part of the mandibular ramus. Thus, the mandibular angle reduction can be performed by myotomy or bone reduction or both.

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A Study on Look alike Offender Detection Using Hidden Face Information (얼굴가림 정보를 이용한 유사 범인 검출에 관한 연구)

  • Kim, Soo-In
    • Journal of the Korean Institute of Illuminating and Electrical Installation Engineers
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    • v.28 no.4
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    • pp.70-79
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    • 2014
  • In this paper, I propose a method for detection of look-alike offenders by using hidden face information. For extraction of moving objects, PRA matching is used to extract moving components, and brightness changes can be dealt with by an adaptive threshold adjusting in the proposed method. Moving objects extracted in the territory of the face region is extracted using the complexion, facial area, eyes, nose, mouth. The extracted information detected by the presence of these characteristics were likely to help judge a person. Results of the extracted face makes the recognition rate of possible murderers 90% so the usefulness of the proposed method was confirmed.

Non-Odontogenic Toothache Caused by Acute Maxillary Sinusitis: A Case Report

  • Kim, Ki-Mi;Byun, Jin-Seok;Jung, Jae-Kwang;Choi, Jae-Kap
    • Journal of Oral Medicine and Pain
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    • v.41 no.2
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    • pp.80-84
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    • 2016
  • Non-odontogenic toothaches are frequently present and can be challenge to the dental clinician. A 41-year-old male patient with sharp and spontaneous pain on the right maxillary posterior dentition, which developed as like localized toothache 3 months ago, was finally treated with endoscope assisted sinus surgery on right maxillary sinus. Although the initial clinical characteristics are similar to odontogenic toothache in this patient, previous several treatment with the affected teeth did not alleviate the pain. Sinusitis around the facial structure is one of the common causes to make referred pain to maximally teeth and the sinus toothache resembles the pulpal or the periodontal toothache. The clinician should be well aware of various causes of the non-odontogenic toothache and be able to differentiate them.

A New Method of Intraoral Le Fort II Osteotomy for Correction of Midface in Cleft Patients (구순 구개열 환자에서의 새로운 구강내 접근 Le Fort II 골절단술)

  • Choung Pill-Hoon;Kim Kwang-Ho
    • Korean Journal of Cleft Lip And Palate
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    • v.4 no.2
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    • pp.29-35
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    • 2001
  • Midfacial retrusion is one of characteristics of cleft patients due to underdevelopment of the midface. In this case, Le Fort II advancement is indicated. But there has not been reported on intraoral approach to Le Fort II osteotomy for correction of midface, which traditional technique resulted in facial scar. To overcome the problems, Le Fort II osteotomy via only intraoral approach named 'Intraoral Le Fort IT osteotomy' was developed by Choung in 1994, this technique was applied to cleft patients. A new technique of Intraoral Le Fort IT osteotomy for correction of midface in cleft patients was successfully carried out with good results. This technique showed no noticeable relapse nor complications, which is reported.

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얼굴의 geometry 특징을 이용한 다중해상도 템플릿 매칭 얼굴 특징 추출법

  • Yun, Seong-Uk;Kim, Jae-Min;Jo, Seong-Won;Choe, Gyeong-Sam;Baek, Seong-Uk
    • Proceedings of the KIEE Conference
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    • 2003.11c
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    • pp.1002-1005
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    • 2003
  • This paper presents a new template matching method for finding facial feature points. Instead of matching each template to its corresponding feature point separately the present method matches a set of element templates simultaneously. The set of templates can be placed on the space predefined by the geometrical characteristics of human faces. As a result, the search area for template matching is very small compared with a conventional method. This makes the presented method very robust and accurate. Experiment results show that the presented method results in good performance In various illuminance environments and poses.

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Biosign Recognition based on the Soft Computing Techniques with application to a Rehab -type Robot

  • Lee, Ju-Jang
    • 제어로봇시스템학회:학술대회논문집
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    • 2001.10a
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    • pp.29.2-29
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    • 2001
  • For the design of human-centered systems in which a human and machine such as a robot form a human-in system, human-friendly interaction/interface is essential. Human-friendly interaction is possible when the system is capable of recognizing human biosigns such as5 EMG Signal, hand gesture and facial expressions so the some humanintention and/or emotion can be inferred and is used as a proper feedback signal. In the talk, we report our experiences of applying the Soft computing techniques including Fuzzy, ANN, GA and rho rough set theory for efficiently recognizing various biosigns and for effective inference. More specifically, we first observe characteristics of various forms of biosigns and propose a new way of extracting feature set for such signals. Then we show a standardized procedure of getting an inferred intention or emotion from the signals. Finally, we present examples of application for our model of rehabilitation robot named.

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