• Title/Summary/Keyword: lip model

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The predictability of dentoskeletal factors for soft-tissue chin strain during lip closure

  • Yu, Yun-Hee;Kim, Yae-Jin;Lee, Dong-Yul;Lim, Yong-Kyu
    • The korean journal of orthodontics
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    • v.43 no.6
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    • pp.279-287
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    • 2013
  • Objective: To investigate the dentoskeletal factors which may predict soft-tissue chin strain during lip closure. Methods: The pretreatment frontal and lateral facial photographs and lateral cephalograms of 209 women (aged 18-30 years) with Angle's Class I or II malocclusion were examined. The subjects were categorized by three examiners into the no-strain and strain groups according to the soft-tissue chin tension or deformation during lip closure. Relationships of the cephalometric measurements with the group classification were analyzed by logistic regression analysis, and a classification and regression tree (CART) model was used to define the predictive variables for the group classification. Results: The lower the value of the overbite depth indicator (ODI) and the higher the values of upper incisor to Nasion-Pogonion (U1-NPog, mm), overjet, and upper incisor to upper lip (U1-upper lip, mm), the more likely was the subject to be classified into the strain group. The CART showed that U1-NPog was the most prominent predictor of soft-tissue chin strain (cut-off value of 14.2 mm), followed by overjet. Conclusions: To minimize strain of the soft-tissue chin, orthodontic treatment should be oriented toward increasing the ODI value while decreasing the U1-NPog, overjet, and U1 upper lip values.

A Study on Spatio-temporal Features for Korean Vowel Lipreading (한국어 모음 입술독해를 위한 시공간적 특징에 관한 연구)

  • 오현화;김인철;김동수;진성일
    • The Journal of the Acoustical Society of Korea
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    • v.21 no.1
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    • pp.19-26
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    • 2002
  • This paper defines the visual basic speech units, visemes and investigates various visual features of a lip for the effective Korean lipreading. First, we analyzed the visual characteristics of the Korean vowels from the database of the lip image sequences obtained from the multi-speakers, thereby giving a definition of seven Korean vowel visemes. Various spatio-temporal features of a lip are extracted from the feature points located on both inner and outer lip contours of image sequences and their classification performances are evaluated by using a hidden Markov model based classifier for effective lipreading. The experimental results for recognizing the Korean visemes have demonstrated that the feature victor containing the information of inner and outer lip contours can be effectively applied to lipreading and also the direction and magnitude of the movement of a lip feature point over time is quite useful for Korean lipreading.

A Study on Lip-reading enhancement using RATSTA fileter (RASTA 필터를 이용한 립리딩 성능향상에 관한 연구)

  • Shin Dosung;Kim Jinyoung;Choi Seungho;Kim Sanghun
    • Proceedings of the KSPS conference
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    • 2002.11a
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    • pp.191-194
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    • 2002
  • Lip-reading technology that is studied them is used to compensate speech recognition degradation in noise environment in bi-modal's form. The most important thing is that search for correct lips area in this lip-reading. But, it is hard to forecast stable performance in dynamic environment. Used RASTA filter that show good performance to remove noise in the speech to compensate. This filter shows that improve performance of using time domain of digital filter. To this experiment observes performance of speech recognition only using image information, service chooses possible 22 words and did recognition experiment in car. We used hidden Markov model by speech recognition algorithm to compare this words' recognition performance.

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Korean Phonological Viseme for Lip Synch Based on Phoneme Recognition (음소인식 기반의 립싱크 구현을 위한 한국어 음운학적 Viseme의 제안)

  • Joo Heeyeol;Kang Sunmee;Ko Hanseok
    • Proceedings of the Acoustical Society of Korea Conference
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    • spring
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    • pp.70-73
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    • 1999
  • 본 논문에서는 한국어에 대한 실시간 음소 인식을 통한 Lip Synch 구현에 필수요소인 Viseme(Visual Phoneme)을 한국어의 음운학적 접근 방법을 통해 제시하고, Lip Synch에서 입술의 모양에 결정적인 영향을 미치는 모음에 대한 모음 인식 실험 및 결과 분석을 한다.모음인식 실험에서는 한국어 음소 51개 각각에 대해 3개의 State로 이루어진 CHMM (Continilous Hidden Makov Model)으로 모델링하고, 각각의 음소가 병렬로 연결되어진 음소네트워크를 사용한다. 입력된 음성은 12차 MFCC로 특징을 추출하고, Viterbi 알고리즘을 인식 알고리즘으로 사용했으며, 인식과정에서 Bigrim 문법과 유사한 구조의 음소배열 규칙을 사용해서 인식률과 인식 속도를 향상시켰다.

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THE COMPARISON OF PIFS AND HEAT TRANSFER WITH BASE CONFIGURATIONS (기저 형상에 따른 PIFS 및 열전달 비교 연구)

  • Kim, J.G.;Lee, J.W.;Kim, K.H.
    • 한국전산유체공학회:학술대회논문집
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    • 2010.05a
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    • pp.195-200
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    • 2010
  • Numerical investigation was conducted to study the effects of after-body configurations and nozzle lip on the PIFS(Plume Induced Flow Separation) and eat flux to the base face. Two dimensional and axi-symmetric non-equilibrium Navier-Stoke's solver with $k-{\omega}$ SST turbulence model was used to solve the launching vehicle type configuration with propulsive jet. The experimental result of Robert J. McGhee was compared with our computational results for code validation. Three types of the after-body configurations (Straight, Boat-tail, Flare type) were simulated for this study. And the nozzle lip effect was studies using the three types of base configurations same simulation conditions. As a result of numerical investigations, higher pressure ratio condition and boat-tail after-body configuration caused severe PIFS phenomenon but the flare type after-body configuration and low pressure ratio suppressed PIFS. Flare type after-body configuration and low pressure ratio case reduced heat flux to base face. The nozzle lip dispersed the heat flux widely along the base face and the nozzle lip.

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A Differences in Preference and Evaluation on the Image of Make-up (Part II) -Focused on Perceiver's Age & Habitant- (화장색 이미지평가와 선호도 차이 (제2보) -지각자의 연령과 거주지를 중심으로-)

  • Lee Yon-Hee
    • Journal of the Korean Society of Clothing and Textiles
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    • v.30 no.5 s.153
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    • pp.684-698
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    • 2006
  • This study consists of the stimuli of a female model in her twenties with twenty-two different facial make-up. The subjects of this study are one thousand low hundred ninety seven purposive sampled-male and female grown-ups throughout the country. The period of the research was the December of 2004, one month, and the materials were analyzed by factor analysis, T-examination, analysis of variance, Cronbach's a, Duncan's Multiple Range Test. Here follows the result of the research. Firstly, Familiarity, Intelligence, Fitness, Charm, Tradition and Youth were came out as the result of factor analysis of make-up color image perception. Secondly, in age/lip color perception of bright skin tone, there was difference of Intelligence and Charm. In age/image make-up perception of bright skin tone, there was difference of Familiarity, Charm especially on Cool image make-up. Thirdly in habitant/lip color perception of dark skin tone, there was difference of Intelligence and Charm. In habitant/image make-up perception of bright skin tone, there was difference of Familiarity, Charm and of bright skin tone, Intelligence, Charm, Tradition and Youth. Fourthly, there were the interaction effects on the gender of perceivers and lip color and image make-up of perceivers habitant. Lastly, in preference rate, lip color was more affected by age and image make-up were more affected by perceivers habitant.

A Case of Pulmonary MALT Lymphoma Arising from Lymphocytic Interstitial Pneumonitis

  • Park, Ki Hoon;Kwon, Soon Seog;Chung, Myung Hee;Kim, Jeana;Lee, Hee Jung;Min, Ji-Won;Kim, Yong Hyun
    • Tuberculosis and Respiratory Diseases
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    • v.73 no.2
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    • pp.115-121
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    • 2012
  • Pulmonary mucosa-associated lymphoid tissue-derived (MALT) lymphoma is a rare disease. This disorder is considered to be a model of antigen-driven lymphoma, which is driven either by autoantigens or by chronic inflammatory conditions. Low-grade B-cell MALT lymphoma may develop from a nonneoplastic pulmonary lymphoproliferative disorder, such as lymphocytic interstitial pneumonitis (LIP). A recent estimate predicts that less than 5% of LIP patients acquire malignant, low-grade, B-cell lymphoma. In Korea, there has been no previous report of malignant low-grade, B-cell lymphoma, acquired from LIP. Here, we present the case of a patient with LIP that developed into pulmonary MALT lymphoma, six years after diagnosis.

Isolation and Characterization of a Novel Triolein Selective Lipase from Soil Environmental Genes

  • Lim, Hee Kyung;Han, Ye-Jin;Hahm, Moon-Sun;Park, Soo Youl;Hwang, In Taek
    • Microbiology and Biotechnology Letters
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    • v.48 no.4
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    • pp.480-490
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    • 2020
  • A novel lipase gene, Lip-1420, was isolated from a metagenomic library constructed from reed marsh from Mt. Jumbong in Korea, comprising 112,500 members of recombinant plasmids. The DNA sequence of Lip-1420-subclone (5,513 bp) was found to contain at least 11 ORFs according to the GenBank database. The ORF-3 gene was inserted into the pET21a plasmid containing the C-terminal 6-His tag and transformed into E. coli BL21(DE3) to express the recombinant lipase protein. Lip-1420 was purified using a fast protein liquid chromatography system. The gene was registered in GenBank (MH628529). The values of Km and Vmax were determined as 0.268 mM and 1.821 units, respectively, at 40℃ and pH 8.0, using p-nitrophenyl palmitate as the substrate. This lipase belongs to family IV taxonomically because it has conserved HGGG and GDSAG motifs in the constitutive amino acid sequence. According to the predicted structural model, the binding sites are represented by residues H78, G81, D150, S151, A152, V181, and D236. Finally, Lip-1420 showed triolein selectivity for methanolysis between triolein (18:1) and tristearin (18:0) substrates. Further study of the selective mechanism and structure-function relationship of this new lipase could be useful for more practical applications.

A study on the lip shape recognition algorithm using 3-D Model (3차원 모델을 이용한 입모양 인식 알고리즘에 관한 연구)

  • 김동수;남기환;한준희;배철수;나상동
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 1998.11a
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    • pp.181-185
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    • 1998
  • Recently, research and developmental direction of communication system is concurrent adopting voice data and face image in speaking to provide more higher recognition rate then in the case of only voice data. Therefore, we present a method of lipreading in speech image sequence by using the 3-D facial shape model. The method use a feature information of the face image such as the opening-level of lip, the movement of jaw, and the projection height of lip. At first, we adjust the 3-D face model to speeching face image sequence. Then, to get a feature information we compute variance quantity from adjusted 3-D shape model of image sequence and use the variance quality of the adjusted 3-D model as recognition parameters. We use the intensity inclination values which obtaining from the variance in 3-D feature points as the separation of recognition units from the sequential image. After then, we use discrete HMM algorithm at recognition process, depending on multiple observation sequence which considers the variance of 3-D feature point fully. As a result of recognition experiment with the 8 Korean vowels and 2 Korean consonants, we have about 80% of recognition rate for the plosives and vowels.

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A study on the lip shape recognition algorithm using 3-D Model (3차원 모델을 이용한 입모양 인식 알고리즘에 관한 연구)

  • 남기환;배철수
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.6 no.5
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    • pp.783-788
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    • 2002
  • Recently, research and developmental direction of communication system is concurrent adopting voice data and face image in speaking to provide more higher recognition rate then in the case of only voice data. Therefore, we present a method of lipreading in speech image sequence by using the 3-D facial shape model. The method use a feature information of the face image such as the opening-level of lip, the movement of jaw, and the projection height of lip. At first, we adjust the 3-D face model to speeching face Image sequence. Then, to get a feature information we compute variance quantity from adjusted 3-D shape model of image sequence and use the variance quality of the adjusted 3-D model as recognition parameters. We use the intensity inclination values which obtaining from the variance in 3-D feature points as the separation of recognition units from the sequential image. After then, we use discrete HMM algorithm at recognition process, depending on multiple observation sequence which considers the variance of 3-D feature point fully. As a result of recognition experiment with the 8 Korean vowels and 2 Korean consonants, we have about 80% of recognition rate for the plosives md vowels.