• Title/Summary/Keyword: Image-based Modeling

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Noncontact Type Three Dimensional Profile Measurement for CAD Modeling of Sculptured Surface (자유곡면의 CAD 모델링을 위한 비접촉식 삼차원 형상측정)

  • Park, H.G.;Park, Y.B.;Kim, S.W.
    • Journal of the Korean Society for Precision Engineering
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    • v.12 no.1
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    • pp.5-14
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    • 1995
  • An optical measurement method of three dimensional surface profiles which is named the slit beam projection is suggested and practically implemented. This method is intended especially for noncontact and fast digitization of sculptured surfaces for CAD modeling and die manufacturing. Its basic principles are based on geometric optics. Deatiled optical principles and an sub-pixel image processing technique to enhance the measuring resolutions are described in this study. The measuring performances of the slit beam projection are presented and discussed to demonstrate that an actual measuring accuracy of below .+-. 0.2mm can be achived over the whole measuring range(500mm*300mm*200mm)

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Effect of Difference Education Quality on Student Satisfaction and Student Loyalty (차별적인 교육품질이 학생만족과 학생 충성도에 미치는 영향)

  • Kim, Gye-Soo
    • Journal of Korean Society for Quality Management
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    • v.41 no.1
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    • pp.53-68
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    • 2013
  • Purpose: The paper presents research that examine relationship difference education quality, satisfaction, loyalty in university education sector. Specifically, the effects of difference education quality on student satisfaction and loyalty in the context of education quality are examined. Methods: A model of difference education quality effect on student satisfaction and loyalty is introduced and tested in the university using student perceptions of provider. Questionnaire was developed, and data was collected and analyzed for this study with SEM(Structural Equation Modeling). Results: The results are as follows: Education capability, BNIE(Business Newspaper In Education) are significantly influenced on student satisfaction. In addition, student satisfaction is significantly influence on external customer satisfaction, professor image. Professor image is significantly influence on student loyalty. Conclusion: Upon learning of student need and want, professor can focus on development of difference education quality based on student need and want.

A Study on Automated 3-D Reconstruction Based on 2-D CT Image of Lumber Spine (요추의 2차원 CT 영상을 이용한 3차원 형상모델링의 자동화 연구)

  • 김성민;김성재;서성영;탁계례
    • Journal of Biomedical Engineering Research
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    • v.20 no.5
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    • pp.581-586
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    • 1999
  • 척추의 생체역학적 해석을 위한 유한요소기법을 이용한 컴퓨터 시뮬레이션은 척추의 손상에 대한 발생원인과 기전을 이해하고 치료의 효과를 예측하는 유용한 수단으로 기대되고 있다. 본 논문에서는 요추의 2차원 CT 영상을 이용하여 유한요소해석을 위한 척추의 3차원 모델링에 소비되는 많은 시간을 줄일 수 있도록 3차원 형상모델을 CT 형상 데이터와 형상변수를 이용, 각각 구현하는 과정을 자동화하여 이를 비교하였다.

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Low-light Image Enhancement Based on Frame Difference and Tone Mapping (프레임 차와 톤 매핑을 이용한 저조도 영상 향상)

  • Jeong, Yunju;Lee, Yeonghak;Shim, Jaechang;Jung, Soon Ki
    • Journal of Korea Multimedia Society
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    • v.21 no.9
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    • pp.1044-1051
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    • 2018
  • In this paper, we propose a new method to improve low light image. In order to improve the image quality of a night image with a moving object as much as the quality of a daytime image, the following tasks were performed. Firstly, we reduce the noisy of the input night image and improve the night image by the tone mapping method. Secondly, we segment the input night image into a foreground with motion and a background without motion. The motion is detected using both the difference between the current frame and the previous frame and the difference between the current frame and the night background image. The background region of the night image takes pixels from corresponding positions in the daytime image. The foreground regions of the night image take the pixels from the corresponding positions of the image which is improved by the tone mapping method. Experimental results show that the proposed method can improve the visual quality more clearly than the existing methods.

Image Analysis and Management Strategy for The National Science Museum Utilizing SNS Big Data Analysis (SNS 빅데이터 분석을 활용한 국립과학관에 대한 이미지 분석과 경영전략 제안)

  • Shin, Seongyeon
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.21 no.1
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    • pp.81-89
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    • 2020
  • The purpose of this study is to investigate science consumers' perceptions of the National Science Museum and suggest effective management strategies for the museum. Research questions were established and the analyses were conducted to achieve the research goals. The collection and analysis of the data were conducted through a new approach to image analysis that combines qualitative and quantitative methods. First, the image of the concept of science was derived from science consumers (adults, undergraduate and graduate students) through a qualitative research method (group-interviewing), and then text analysis was conducted. Second, quantitative research was conducted through LDA (Latent Dirichlet Allocation)-based topical modeling of 63,987 words extracted from 12,920 titles of blog postings from one of the most heavily-trafficked portal sites in Korea. The results of this study indicate that the perception of science differs according to the characteristics of the respondents. Further, topic-modeling extracted 20 topics from the blog posting titles and the topics were condensed into seven factors. Detailed discussions and managerial implications are provided in the conclusion section.

Object Recognition-based Global Localization for Mobile Robots (이동로봇의 물체인식 기반 전역적 자기위치 추정)

  • Park, Soon-Yyong;Park, Mignon;Park, Sung-Kee
    • The Journal of Korea Robotics Society
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    • v.3 no.1
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    • pp.33-41
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    • 2008
  • Based on object recognition technology, we present a new global localization method for robot navigation. For doing this, we model any indoor environment using the following visual cues with a stereo camera; view-based image features for object recognition and those 3D positions for object pose estimation. Also, we use the depth information at the horizontal centerline in image where optical axis passes through, which is similar to the data of the 2D laser range finder. Therefore, we can build a hybrid local node for a topological map that is composed of an indoor environment metric map and an object location map. Based on such modeling, we suggest a coarse-to-fine strategy for estimating the global localization of a mobile robot. The coarse pose is obtained by means of object recognition and SVD based least-squares fitting, and then its refined pose is estimated with a particle filtering algorithm. With real experiments, we show that the proposed method can be an effective vision- based global localization algorithm.

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Multi-Focusing Image Capture System for 3D Stereo Image (3차원 영상을 위한 다초점 방식 영상획득장치)

  • Ham, Woon-Chul;Kwon, Hyeok-Jae;Enkhbaatar, Tumenjargal
    • The Journal of Korea Robotics Society
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    • v.6 no.2
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    • pp.118-129
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    • 2011
  • In this paper, we suggest a new camera capturing and synthesizing algorithm with the multi-captured left and right images for the better comfortable feeling of 3D depth and also propose 3D image capturing hardware system based on the this new algorithm. We also suggest the simple control algorithm for the calibration of camera capture system with zooming function based on a performance index measure which is used as feedback information for the stabilization of focusing control problem. We also comment on the theoretical mapping theory concerning projection under the assumption that human is sitting 50cm in front of and watching the 3D LCD screen for the captured image based on the modeling of pinhole Camera. We choose 9 segmentations and propose the method to find optimal alignment and focusing based on the measure of alignment and sharpness and propose the synthesizing fusion with the optimized 9 segmentation images for the best 3D depth feeling.

Numerical analysis of the thermal behaviors of cellular concrete

  • She, Wei;Zhao, Guotang;Yang, Guotao;Jiang, Jinyang;Cao, Xiaoyu;Du, Yi
    • Computers and Concrete
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    • v.18 no.3
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    • pp.319-336
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    • 2016
  • In this study, both two- and three-dimensional (2D and 3D) finite-volume-based models were developed to analyze the heat transfer mechanisms through the porous structures of cellular concretes under steady-state heat transfer conditions and to investigate the differences between the 2D and 3D modeling results. The 2D and 3D reconstructed pore networks were generated from the microstructural information measured by 3D images captured by X-ray computerized tomography (X-CT). The computed effective thermal conductivities based on the 2D and 3D calculations performed on the reconstructed porous structures were found to be nearly identical to those evaluated from the 2D cross-sectional images and the 3D X-CT images, respectively. In addition, the 3D computed effective thermal conductivity was found to agree better with the measured values, in comparison with the 2D reconstruction and real cross-sectional images. Finally, the thermal conductivities computed for different reconstructed porous 3D structures of cellular concretes were compared with those obtained from 2D computations performed on 2D reconstructed structures. This comparison revealed the differences between 2D and 3D image-based modeling. A correlation was thus derived between the results of the 3D and 2D models.

Reconstruction System of Road Environment using Image-based Modeling (이미지 기반 모델링을 이용한 도로환경 재구성 시스템)

  • Lee, Kye-Young;Lee, Yong-Jae;Shin, Yeong Gil
    • Journal of the Korea Computer Graphics Society
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    • v.3 no.1
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    • pp.17-22
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    • 1997
  • This paper presents a new modeling technique to reconstruct road environments. The reconstruction algorithm for road environments consists of three parts - reconstructing 3D models of architectures in road environments, editing and creating road models, and modeling auxiliary objects. Different modeling technique is applied to each of these three parts according to properties objects to be modeled contain. In this reconstruction system, modified Photogrammetric Modeling techique is used, of which the user interface is more convenient, and in which constraints of road environments are considered. These improvements make this road environment reconstruction system much simpler and easier to use compared with Photogrammetric Modeling technique[1, 2].

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Fashion-show Animation Generation using a Single Image to 3D Human Reconstruction Technique (이미지에서 3차원 인물복원 기법을 사용한 패션쇼 애니메이션 생성기법)

  • Ahn, Heejune;Minar, Matiur Rahman
    • Journal of Korea Society of Industrial Information Systems
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    • v.24 no.5
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    • pp.17-25
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    • 2019
  • In this paper, we introduce the technology to convert a single human image into a fashion show animation video clip. The technology can help the customers confirm the dynamic fitting result when combined with the virtual try on technique as well as the interesting experience to a normal person of being a fashion model. We developed an extended technique of full human 2D to 3D inverse modeling based on SMPLify human body inverse modeling technique, and a rigged model animation method. The 3D shape deformation of the full human from the body model was performed by 2 part deformation in the image domain and reconstruction using the estimated depth information. The quality of resultant animation videos are made to be publically available for evaluation. We consider it is a promising approach for commercial application when supplemented with the post - processing technology such as image segmentation technique, mapping technique and restoration technique of obscured area.