• Title/Summary/Keyword: Face Block

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Conjugate Heat Transfer in a Vertical Channel with Protrunding Heat Source (돌출된 열원이 부착된 수직 채널내 복합열전달)

  • Kim, Ui-Gwang;Baek, Byeong-Jun;Jo, Byeong-Su
    • Transactions of the Korean Society of Mechanical Engineers B
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    • v.20 no.2
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    • pp.741-751
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    • 1996
  • The coupled conduction and convection heat transfer from the protruding heat source in a vertical channel is numerically investigated. Conjugate solution of the two-dimensional energy equation is obtained for the incompressible air flow over the rectangular block with local heat source. It was found that several recirculation zones and separation bubble near the block were related to Re and Gr. And the results show that fractions of the heat transfer through each of the block face, maximum temperature of the block and the relative effect of each parameter on the maximum temperature and heat transfer.

Fluoroscopy Guided Facial Nerve Block in the Treatment of Facial Spasm (안면 경련 환자에서 진단투시기를 이용한 안면 신경 차단)

  • Lim, Hyun-Kyung;Kwak, No-Kir;Lee, Young-Bok;Yoon, Kyung-Bong
    • The Korean Journal of Pain
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    • v.8 no.1
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    • pp.82-85
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    • 1995
  • Hemifacial spasm is a distressing condition characterized clinically by paroxysmal and an involuntary movement in muscles innervated by the facial nerve on one side of the face. Blockade of the facial nerve can be performed percutaneously, without any serious complications. There are certain clinical problems associated with the conventional procedure, such as severe pain and technical difficulties to find facial nerve. This report describes a fluoroscope guided facial nerve block. This new technique reduced the difficulties in identifying the facial nerve and decreased the suffering associated with the conventional way of facial nerve block.

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Retrospective Study of Facial Nerve Block with O'Brien Method for Facial Spasm (안면경련 환자에서 O'Brien법을 이용한 안면신경 차단의 추적조사)

  • Kim, Chan;Kim, Sung-Mo;Lee, Hyo-Keun;Kim, Seung-Hie;Kim, Jeong-Ho;Kim, Boo-Seong
    • The Korean Journal of Pain
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    • v.10 no.1
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    • pp.16-20
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    • 1997
  • Background : Hemifacial spasm commonly occurs on muscles about the eye, but may also involve or spread to the entire side of the face. There are many treatment for facial spasm, such as neuro-vascular decompression, local injection of Botulium toxin, facial nerve block at stylomastoid foramen, facial nerve block with O'Brien method. The present study was aimed to investigate the effects of facial nerve block with O'Brien method. Methods : Forty five patients with hemifacial spasm were treated by facial nerve block with O'Brien method from January 1996 to February 1997 We reviewed the charts, retrospectively. Results : Sex ratio was 1:1.7(17 male : 28 female patients). Most patients were 40~60 years old. Most patients well tolerated facial nerve block. Three patients failed to respond to the facial nerve block. We repeated the procedure within one week. Among the 45 patients who received nerve block, 35 received repeated block; 7 patients received second repeat block, 2 patients received third repeat block. After successful nerve block, all patients were free of spasm for 1 to 6 months. Average spasm-free period was 3.5 months. Conclusion : Although the spasm-free period was short, these results suggest facial nerve block with O'Brien method is a safe and comfortable method for treatment of facial spasm.

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Detection of Face-element for Facial Analysis (표정분석을 위한 얼굴 구성 요소 검출)

  • 이철희;문성룡
    • Journal of the Institute of Electronics Engineers of Korea CI
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    • v.41 no.2
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    • pp.131-136
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    • 2004
  • According to development of media, various information is recorded in media, expression is one during interesting information. Because expression includes of relationship of human inside. Intention of inside is expressed by gesture, but expression has more information. And, expression can manufacture voluntarily, include plan of inside on the man. Also, expression has unique character in a person, have alliance that do division possibility. In this paper, to analyze expression of USB camera animation, wish to detect facial building block. Because characteristic point by person's expression change exists on face component. For component detection, in animation one frame with Capture, grasp facial position, and separate face area, and detect characteristic points of face component.

Quantization Parameter Determination Method for Face Depth Image Encoding (깊이 얼굴 영상 부호화에서의 양자화 인자 결정 방법)

  • Park, Dong-Jin;Kwon, Soon-Kak
    • Journal of Korea Society of Industrial Information Systems
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    • v.25 no.1
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    • pp.13-23
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    • 2020
  • In this paper, we propose a quantization parameter determination method for face depth image encoding in order to minimize an impact on a face recognition accuracy. When a face depth image is compressed through quantization in H.264/AVC, differential quantization parameters are assigned according to an accuracy of ellipsoid modeling prediction and an importance degree of a unit block in extracting facial features. The simulation results show that the face recognition success rates are improved by up to 6% at the same compression rates through the proposed compression rate determination method.

Facial Texture Generation using an Image Registration Algorithm based on Ellipsoidal Prototype Model (타원체형 모델 기반의 영상정렬 알고리즘을 이용한 얼굴 텍스쳐 생성)

  • Lee Joong Jae;Noh Myung Woo;Choi Hyung Il
    • Journal of KIISE:Software and Applications
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    • v.32 no.1
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    • pp.22-33
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    • 2005
  • In this paper. we propose an image registration algorithm based on variable-sized blocks of ellipsoidal prototype model which is similar in shape to human face. While matching blocks, the existing cylindrical prototype model which only takes into account left and right curvature can accomplish a correct alignment on left and right images. But, registration errors are produced from up and down images because the cylindrical prototype model not reflects characteristics of head shape and jaw structure of human. The proposed method is a block matching algorithm which uses variable-sized blocks with considering left-right and up-down curvature of ellipsoidal face model and can correctly align images by using the correlation between them. We then adapt image mosaic technique to generate a face texture from aligned images. For this purpose, we stitch them with assigning linear weights according to the overlapped region and remove ghost effects to make more realistic facial texture.

Behavior of Reinforced Earth Retaining Wall for Permitting Reinforcement to Subside with Monitoring (현장계측을 통한 보강재 침하형 보강토 옹벽의 거동특성)

  • Chung, Jin-Hyuck;Oh, Jong-Keun;Lee, Song
    • Journal of the Korean Geotechnical Society
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    • v.25 no.2
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    • pp.5-15
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    • 2009
  • The conventional reinforced earth retaining wall has the connector system to fix the reinforcement and block. However, this system defect may cause the crack of block and the rupture of reinforcement due to the stress concentration near the face of reinforced earth retaining wall. Hence, the new connector system which was able to allow the settlement of reinforcement was developed in this study and a test was carried out in the study area which is divided into the conventional reinforced earth retaining wall and reinforced Earth Retaining Wall driving the settlement. As the results of field monitoring in situ, the ratio of tensile force calculated at maximum value on contiguous portion of front block showed that the settlement type decreased the stress concentration near the face of front block greater than the conventional type.

Face Image Compression Algorithm using Triangular Feature Extraction and GHA (삼각특징추출과 GHA를 이용한 얼굴영상 압축알고리즘)

  • Seo, Seok-Bae;Kim, Dae-Jin;Gang, Dae-Seong
    • Journal of the Institute of Electronics Engineers of Korea SP
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    • v.38 no.1
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    • pp.11-18
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    • 2001
  • In this paper, we proposed the image compression algorithm using triangular feature based GHA. In feature extraction, the input images are divided into eight areas of triangular shape, that has positional information for face image compression. The proposed algorithm reduces blocking effects in image reconstruction and contains informations of face feature and shapes of face as input images are divided into eight. We used triangular feature extraction for positional information and GHA for shape information of face images. Simulation results show that the proposed algorithm has a better performance than the block based K-means and non-parsed image based GHA in PSNR at the same bpp.

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A Study on High Speed Face Tracking using the GPGPU-based Depth Information (GPGPU 기반의 깊이 정보를 이용한 고속 얼굴 추적에 대한 연구)

  • Kim, Woo-Youl;Seo, Young-Ho;Kim, Dong-Wook
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.17 no.5
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    • pp.1119-1128
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    • 2013
  • In this paper, we propose an algorithm to detect and track the human face with a GPU-based high speed. Basically the detection algorithm uses the existing Adaboost algorithm but the search area is dramatically reduced by detecting movement and skin color region. Differently from detection process, tracking algorithm uses only depth information. Basically it uses a template matching method such that it searches a matched block to the template. Also, In order to fast track the face, it was computed in parallel using GPU about the template matching. Experimental results show that the GPU speed when compared with the CPU has been increased to up to 49 times.

Personal Identification Using Inner Face of Fingers from Contactless Hand Image (비접촉 손 영상에서 손가락 면을 이용한 개인 식별)

  • Kim, Min-Ki
    • Journal of Korea Multimedia Society
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    • v.17 no.8
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    • pp.937-945
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    • 2014
  • Multi-modal biometric system can use another biometric trait in the case of having deficiency at a biometric trait. It also has an advantage of improving the performance of personal identification by using multiple biometric traits, so studies on new biometric traits have continuously been performed. The inner face of finger is a relatively new biometric trait. It has two major features of knuckle lines and wrinkles, which can be used as discriminative features. This paper proposes a finger identification method based on displacement vector to effectively process some variation appeared in contactless hand image. At first, the proposed method produces displacement vectors, which are made by connecting corresponding points acquired by matching each pair of local block. It then recognize finger by measuring the similarity among all the detected displacement vectors. The experimental results using pubic CASIA hand image database show that the proposed method may be effectively applied to personal identification.