• Title/Summary/Keyword: Capture

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Real-time Facial Modeling and Animation based on High Resolution Capture (고해상도 캡쳐 기반 실시간 얼굴 모델링과 표정 애니메이션)

  • Byun, Hae-Won
    • Journal of Korea Multimedia Society
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    • v.11 no.8
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    • pp.1138-1145
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    • 2008
  • Recently, performance-driven facial animation has been popular in various area. In television or game, it is important to guarantee real-time animation for various characters with different appearances between a performer and a character. In this paper, we present a new facial animation approach based on motion capture. For this purpose, we address three issues: facial expression capture, expression mapping and facial animation. Finally, we show the results of various examination for different types of face models.

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Performance Assessment of Fume Extracting Welding Gun (흄토치 성능 평가에 관한 연구)

  • Choi, Chan-Ki;Kim, Tae-Hyeung;Ha, Hyun-Chul;Won, Jung Il
    • Journal of Korean Society of Occupational and Environmental Hygiene
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    • v.9 no.2
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    • pp.90-99
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    • 1999
  • Fume extracting welding gun is one of the promising options for reducing the welder's fume exposure. The performance of the gun was assessed on the basis of capture efficiency. Capture efficiencies were measured in a test chamber recommended by American Welding Society. The overall capture efficiency was turned out to be above 95%. But it did not include the effect of crossdraft existing in the real work environment because all experiments were conducted in a closed chamber. It thus needs more work in the future. In addition, the future directions for improving the pres ent commercial techniques of the gun were discussed.

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Minimization of Energy Consumption for Amine Based CO2 Capture Process by Process Modification

  • Sultan, Haider;Bhatti, Umair H.;Cho, Jin Soo;Park, Sung Youl;Baek, Il Hyun;Nam, Sungchan
    • Journal of Energy Engineering
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    • v.28 no.4
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    • pp.13-18
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    • 2019
  • The high energy penalty in amine-based post-combustion CO2 capture process is hampering its industrial scale application. An advanced process is designed by intensive heat integration within the conventional process to reduce the stripper duty. The study presents the technical feasibility for stripper duty reduction by intensive heat integration in CO2 capture process. A rigorous rate-based model has been used in Aspen Plus® to simulate conventional and advanced process for a 300 MW coal-based power plant. Several design and operational parameters like split ratio, stripper inter-heater location and flowrate were studied to find the optimum values. The results show that advanced configuration with heat integration can reduces the stripper heat by 14%.

Neutron Cross Section Evaluation on Mo-95, Tc-99, Ru-101 and Rh-1()3 in the Fast Energy Region

  • Lee, Y. D.;J. H. Chang
    • Nuclear Engineering and Technology
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    • v.34 no.6
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    • pp.533-544
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    • 2002
  • The neutron induced nuclear data for Mo-95, Tc-99, Ru-101 and Rh-103 was calculated and evaluated in the fast energy region. The energy dependent optical model potential parameters were extracted based on the recent experimental data and applied up to 20 MeV. The s-wave strength function was calculated from the parameters. Spherical optical model, statistical model in equilibrium energy, multistep direct and multistep compound model in pre-equilibrium energy and direct capture model were used in the calculation. The theoretically calculated cross sections were compared with the experimental data and the evaluated files The model- calculated total and capture cross sections were in good agreement with the reference experimental data. The direct capture contribution improved the capture cross sections in pre- equilibrium region. The evaluated cross section results were compiled to ENDF-6 format and will improve the ENDF/B-Vl.

Image Fingerprinting Scheme for Print-and-capture Attacking Model (Print-and-capture 공격 모델을 위한 이미지 핑거프링팅 기법)

  • Lee, Seon-Hwa;Kim, Won-Gyum;Seo, Yong-Seok
    • Proceedings of the IEEK Conference
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    • 2006.06a
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    • pp.427-428
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    • 2006
  • This paper presents an image fingerprinting scheme for the print-to-capture model performed by a photo printer and digital camera. When capturing an image by a digital camera, various kinds of distortions such as noise, geometrical distortions, and lens distortions are applied. slightly and simultaneously. In this paper, we consider several steps to extract fingerprints from the distorted image in print-and capture scenario. To embed ID into an image as a fingerprint, multi-bits embedding is applied. We embed 64 bits information as a fingerprint into spatial domain of color images. In order to restore a captured image from distortions a noise reduction filter is performed and a rectilinear tiling pattern is used as a template. To make the template, a multi-bits fingerprint is embedded repeatedly like a tiling pattern. We show that the extracting is successful from the image captured by a digital camera through the experiment.

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Reconstructing individual hand models from motion capture data

  • Endo, Yui;Tada, Mitsunori;Mochimaru, Masaaki
    • Journal of Computational Design and Engineering
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    • v.1 no.1
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    • pp.1-12
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    • 2014
  • In this paper, we propose a new method of reconstructing the hand models for individuals, which include the link structure models, the homologous skin surface models and the homologous tetrahedral mesh models in a reference posture. As for the link structure model, the local coordinate system related to each link consists of the joint rotation center and the axes of joint rotation, which can be estimated based on the trajectories of optimal markers on the relative skin surface region of the subject obtained from the motion capture system. The skin surface model is defined as a three-dimensional triangular mesh, obtained by deforming a template mesh so as to fit the landmark vertices to the relative marker positions obtained motion capture system. In this process, anatomical dimensions for the subject, manually measured by a caliper, are also used as the deformation constraints.

Development of a DTV RF Signal Capture, Analysis, and Regeneration System

  • Kwon Tae-Hoon;Mok Ha-Kyun;Suh Young-Woo
    • Proceedings of the Korean Society of Broadcast Engineers Conference
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    • 2003.11a
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    • pp.175-179
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    • 2003
  • In this paper, we developed a DTV RF (Radio frequency) capture, analysis, and regeneration system adapting digital signal processing and high speed hard disk interfacing techniques and analyzed characteristics of captured RF signal. This system can be used in the various field of DTV transmission because this system can capture the receiving real DTV signals and analyze captured RF signals that contain the complex characteristics of the real-world RF environments and regenerate it in a laboratory without the performance degradation. The system can capture and replay the DTV RF signals in real-time on hard disk. Therefore, there is no limit for the amount of captured data with in the installed storage capacity. We can expect various possible applications for this system such as a tool for the development of the receiver performance analysis, design, and analysis for the DTV coverage areas, etc. This system can also be used as RF signal analyzer.

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Medical Digital Twin-Based Dynamic Virtual Body Capture System (메디컬 디지털 트윈 기반 동적 가상 인체 획득 시스템)

  • Kim, Daehwan;Kim, Yongwan;Lee, Kisuk
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.24 no.10
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    • pp.1398-1401
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    • 2020
  • We present the concept of a Medical Digital Twin (MDT) that can predict and analyze medical diseases using computer simulations and introduce a dynamic virtual body capture system to create it. The MDT is a technology that creates a 3D digital virtual human body by reflecting individual medical and biometric information. The virtual human body is composed of a static virtual human body that reflects an individual's internal and external information and a dynamic virtual human body that reflects his motion. Especially we describe an early version of the dynamic virtual body capture system that enables continuous simulation of musculoskeletal diseases.

Improving the Capture-range Problem in Phase-diversity Phase Retrieval for Laser-wavefront Measurement Using Geometrical-optics Initial Estimates

  • Li, Li Jie;Jing, Wen Bo;Shen, Wen;Weng, Yue;Huang, Bing Kun;Feng, Xuan
    • Current Optics and Photonics
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    • v.6 no.5
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    • pp.473-478
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    • 2022
  • To overcome the capture-range problem in phase-diversity phase retrieval (PDPR), a geometrical-optics initial-estimate method is proposed to avoid a local minimum and to improve the accuracy of laser-wavefront measurement. We calculate the low-order aberrations through the geometrical-optics model, which is based on the two spot images in the propagation path of the laser, and provide it as a starting guess for the PDPR algorithm. Simulations show that this improves the accuracy of wavefront recovery by 62.17% compared to other initial values, and the iteration time with our method is reduced by 28.96%. That is, this approach can solve the capture-range problem.

A Motion Capture and Mimic System for Motion Controls (운동 제어를 위한 운동 포착 및 재현 시스템)

  • Yoon, Joongsun
    • Journal of the Korean Society for Precision Engineering
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    • v.14 no.7
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    • pp.59-66
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    • 1997
  • A general procedure for a motion capture and mimic system has been delineated. Utilizing sensors operated in the magnetic fields, complicated and optimized movements are easily digitized to analyze and repreduce. The system consists of a motion capture module, a motion visualization module, a motion plan module, a motion mimic module, and a GUI module. Design concepts of the system are modular, open, and user friendly to ensure the overall system performance. Custom-built and/or off-the-shelf modules are ease- ly integrated into the system. With modifications, this procedure can be applied for complicated motion controls. This procedure is implemented on tracking a head and balancing a pole. A neural controller based on this control scheme dtilizing human motions can easily evolve from a small amount of learning data.

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