• Title/Summary/Keyword: three dimensional vision

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Three-Dimensional Shape Reconstruction from Images by Shape-from-Silhouette Technique and Iterative Triangulation

  • Cho, Jung-Ho;Samuel Moon-Ho Song
    • Journal of Mechanical Science and Technology
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    • v.17 no.11
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    • pp.1665-1673
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    • 2003
  • We propose an image-based three-dimensional shape determination system. The shape, and thus the three-dimensional coordinate information of the 3-D object, is determined solely from captured images of the 3-D object from a prescribed set of viewpoints. The approach is based on the shape-from-silhouette (SFS) technique, and the efficacy of the SFS method is tested using a sample data set. The extracted three-dimensional shape is modeled with polygons generated by a new iterative triangulation algorithm, and the polygon model can be exported to commercial software. The proposed system may be used to visualize the 3-D object efficiently, or to quickly generate initial CAD data for reverse engineering purposes, including three dimensional design applications such as 3-D animation and 3-D games.

Development of a 3-Dimensional Measurement System using Laser Vision (레이저 비전을 이용한 3차원 측정 시스템 구현)

  • Kwon, Hyo-Geun;Chun, Young-Seok;Suh, Young-Soo;Ro, Young-Shick
    • The Transactions of The Korean Institute of Electrical Engineers
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    • v.56 no.5
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    • pp.973-979
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    • 2007
  • A laser vision system is developed to measure the three-dimensional feature of an object. This system consists of two low cost cameras and a cross laser. One camera and a cross laser are used to measure a plane equation of an object. Using this information, the other camera measures a hole size of an object. The proposed system provides 0.05 mm accuracy measurement systems with relatively low cost.

Analysis of 3D Motion Recognition using Meta-analysis for Interaction (기존 3차원 인터랙션 동작인식 기술 현황 파악을 위한 메타분석)

  • Kim, Yong-Woo;Whang, Min-Cheol;Kim, Jong-Hwa;Woo, Jin-Cheol;Kim, Chi-Jung;Kim, Ji-Hye
    • Journal of the Ergonomics Society of Korea
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    • v.29 no.6
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    • pp.925-932
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    • 2010
  • Most of the research on three-dimensional interaction field have showed different accuracy in terms of sensing, mode and method. Furthermore, implementation of interaction has been a lack of consistency in application field. Therefore, this study is to suggest research trends of three-dimensional interaction using meta-analysis. Searching relative keyword in database provided with 153 domestic papers and 188 international papers covering three-dimensional interaction. Analytical coding tables determined 18 domestic papers and 28 international papers for analysis. Frequency analysis was carried out on method of action, element, number, accuracy and then verified accuracy by effect size of the meta-analysis. As the results, the effect size of sensor-based was higher than vision-based, but the effect size was extracted to small as 0.02. The effect size of vision-based using hand motion was higher than sensor-based using hand motion. Therefore, implementation of three-dimensional sensor-based interaction and vision-based using hand motions more efficient. This study was significant to comprehensive analysis of three-dimensional motion recognition for interaction and suggest to application directions of three-dimensional interaction.

Three Dimensional Volume Reconstruction of Polyhedral Objects Using X-ray Stereo Images

  • Roh, Young-Jun;Kim, Byung-Man;Cho, Hyung-Suck
    • 제어로봇시스템학회:학술대회논문집
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    • 2001.10a
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    • pp.28.2-28
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    • 2001
  • Three dimensional shape measurement techniques are widely needed in industries for product quality monitoring and control. X-ray imaging method is a promising technology to achieve three-dimensional Information, both the surface and inner structure of an object, since it can overcome the limitations of conventional visual or optical methods such as an occlusion problem or surface reflection properties. In this paper, we propose three dimensional volume reconstruction method based on x-ray stereo imaging technology. Here, the stereo images of an object from two different views are taken by changing the object pose rather than moving imaging plane as in conventional stereo vision method. We propose a series of image processing techniques to extract the features efficiently from x-ray images, where the occluded features in case of normal camera vision could be found ...

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Eyes and Lenses: A Comparison and Differences

  • Egamberdiev, Khojiakbar
    • Journal of Multimedia Information System
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    • v.3 no.2
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    • pp.43-46
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    • 2016
  • This article will compare the following visual categories: visual angle, distinguishable details, sensitivity, and dynamic range. These categories are often considered within the subject of the maximum deviation from the camera eye, an issue which has generated much controversy. Other characteristics such as depth of field, three-dimensional vision, white balance and color, are not considered in this article.

Development of Three Dimensional Vision Using a Color T.V. Set (Color T.V Set를 이용한 삼차원 영상장치의 개발)

  • Kim, C.J.;Chung, S.S.
    • Journal of the Korean Society for Nondestructive Testing
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    • v.5 no.1
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    • pp.3-8
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    • 1985
  • A three dimensional vision is obtained by stereoscopic view using a modified commercial TV set and matching color filter glasses. Two video signals from two CCTV cameras are connected to the RGB (red, green, blue) inputs of picture tube selecting two different colors for two video signals. A synchronizing signal drives a CCTV camera and the color TV set. On the other hand, a delayed synchronizing signal drives the other CCTV camera shifting its image on display. This shift is used in correcting image distortion.

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A camera calibration technique and landscape simulation

  • Fujimoto, Kazutaka;Watase, Motoaki;Yamamoto, Masayuki;Ishimatsu, Takakazu
    • 제어로봇시스템학회:학술대회논문집
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    • 1995.10a
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    • pp.295-298
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    • 1995
  • In this paper, one simple technique to calibrate the system setting of the three-dimensional measuring system is presented. Due to this technique, the three-dimensional shape of the huge structures and the buildings can be readily obtained. This technique is applied to the three-dimensional landscape simulation. Two examples are shown in this paper.

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Restoration of 3-Dimensional Surface Based on Binocular Stereo Vision (양안 입체시에 의한 3차원 표면의 복원)

  • Jung, Nam-Chae
    • Journal of the Institute of Convergence Signal Processing
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    • v.6 no.3
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    • pp.112-119
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    • 2005
  • In this paper, a model of neural circuit was proposed, which abstracts the depth information in two images gotten from right and left retinas. The proposed neural circuit corresponds to binocular stereo vision based on psychologic and physiological knowledge, and we examine a restoration method of three-dimensional surface. In case of drawing a disparity based on characteristics of images, we can not abstract the depth information correctly if resemblant characteristics are repeated on the boundary region of an object. A binocular disparity is decided in a model of neural circuit by abstraction, synthesis, and correction of a disparity. And we propose a method which restores three-dimensional shape by correcting a depth information, and also restores a three-dimensional surface by mapping a left input image on the restored three-dimensional shape. And we confirmed that the computation time for disparity abstraction can be greatly reduced through the simulation.

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Feature extraction for part recognition system of FMC (FMC의 부품인식을 위한 형상 정보 추출에 관한 연구)

  • 김의석;정무영
    • 제어로봇시스템학회:학술대회논문집
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    • 1992.10a
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    • pp.892-895
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    • 1992
  • This paper presents a methodology for automatic feature extraction used in a vision system of FMC (flexible Manufacturing Cell). To implement a robot vision system, it is important to make a feature database for object recognition, location, and orientation. For industrial applications, it is necessary to extract feature information from CAD database since the detail information about an object is described in CAD data. Generally, CAD description is three dimensional information but single image data from camera is two dimensional information. Because of this dimensiional difference, many problems arise. Our primary concern in this study is to convert three dimensional data into two dimensional data and to extract some features from them and store them into the feature database. Secondary concern is to construct feature selecting system that can be used for part recognition in a given set of objects.

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