• Title/Summary/Keyword: Object transformation

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객체-관계 변환 방법론 기반 메타데이터 레지스트리 데이터베이스 설계 (A Design of Metadata Registry Database based on Object-Relational Transformation Methodology)

  • 차수영;이석훈;정동원;백두권
    • 정보과학회 논문지
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    • 제42권9호
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    • pp.1147-1161
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    • 2015
  • ISO/IEC 11179 메타데이터 레지스트리(Metadata Registry, MDR)는 메타데이터의 등록 및 공유를 위해 개발된 국제표준이다. ISO/IEC 11179는 MDR을 객체 모델인 메타모델로 표현한다. 하지만 ISO/IEC 11179는 메타모델을 데이터베이스로 구축하기 위한 명확한 기준이 없으므로 표준 기반의 MDR 개발이 어려운 문제점이 있다. 이 논문은 MDR 구현을 위해 객체-관계 변환 방법론 기반의 MDR 데이터 모델을 설계한다. 이를 위해 연구된 객체-관계 변환 방법론의 변환 기법들을 관계성에 기준하여 분류하고, 이 변환 기법들의 사용 기준을 정의함으로 모델링 규칙을 제안한다. 이 논문은 MDR 데이터 모델에 대한 구현 결과로 관계형 데이터베이스 테이블을 구축한다. 실험 및 평가를 통하여 제안하는 모델링 규칙을 검증하고 구축된 테이블 구조의 적합성을 평가한다. 평가 결과로 제안 기법에 의해 구축된 테이블 구조는 표준 메타모델의 클래스와 관계성을 잘 보존함을 보인다.

Remote Distance Measurement from a Single Image by Automatic Detection and Perspective Correction

  • Layek, Md Abu;Chung, TaeChoong;Huh, Eui-Nam
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • 제13권8호
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    • pp.3981-4004
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    • 2019
  • This paper proposes a novel method for locating objects in real space from a single remote image and measuring actual distances between them by automatic detection and perspective transformation. The dimensions of the real space are known in advance. First, the corner points of the interested region are detected from an image using deep learning. Then, based on the corner points, the region of interest (ROI) is extracted and made proportional to real space by applying warp-perspective transformation. Finally, the objects are detected and mapped to the real-world location. Removing distortion from the image using camera calibration improves the accuracy in most of the cases. The deep learning framework Darknet is used for detection, and necessary modifications are made to integrate perspective transformation, camera calibration, un-distortion, etc. Experiments are performed with two types of cameras, one with barrel and the other with pincushion distortions. The results show that the difference between calculated distances and measured on real space with measurement tapes are very small; approximately 1 cm on an average. Furthermore, automatic corner detection allows the system to be used with any type of camera that has a fixed pose or in motion; using more points significantly enhances the accuracy of real-world mapping even without camera calibration. Perspective transformation also increases the object detection efficiency by making unified sizes of all objects.

The Evaluations of Sensor Models for Push-broom Satellite Sensor

  • Lee, Suk-Kun;Chang, Hoon
    • Korean Journal of Geomatics
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    • 제4권1호
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    • pp.31-37
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    • 2004
  • The aim of this research is comparing the existing approximation models (e.g. Affine Transformation and Direct Linear Transformation) with Rational Function Model as a substitute of rigorous sensor model of linear array scanner, especially push-broom sensor. To do so, this research investigates the mathematical model of each approximation method. This is followed by the assessments of accuracy of transformation from object space to image space by using simulated data generated by collinearity equations which incorporate or depict the physical aspects of linear array sensor.

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레이저 스캐너를 이용한 측정 및 레지스트레이션시 오차감소에 관한 연구 (A Study on Reducing Errors in Scanning Object and Registration using a Laser Scanner)

  • 홍성균;김연술;이희관;김형찬;양균의
    • 한국정밀공학회지
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    • 제20권9호
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    • pp.197-204
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    • 2003
  • This study proposes a method to reduce errors in scanning object and registration using a laser scanner. The method consists of 3 stages. First, there is an error induced by the difference of the distance between the probe and the object. It is possible to reduce the error by planning a scanning strategy: object setting, scan path. Second, the scan data of the tooling ball affects calculating the tooling ball center. A z-direction compensation is given to calculate more accurate registration points. Third, three points are used to determine a coordinate transformation on each frame. The maximum error usually lies on the third tooling ball in the conventional merging method. LSM (Least Square Method) is applied to a coordinate transformation to reduce the registration error.

A Spatial Presentation Model for Composite Multimedia Objects

  • Cha, Jae-Hyuk
    • 정보기술과데이타베이스저널
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    • 제5권1호
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    • pp.109-119
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    • 1998
  • Users want to browse various groups of nested attribute values of an object. On the other hand, in case of the presentation of a multimedia object, the form-based presentation is superior to the graph-based presentation. Therefore we propose a form-based presentation transformation scheme that allows users to reorganize the presentation layout to fit the limited screen and to show the values of all the needed attributes. For the representation of the presentation scenario of an object a presentation information class and the presentation transformation operations are defined. We show how these operations transform the default presentation into the wanted presentation by navigating through a multimedia object with the COMIB (COMposite Icon Browser).

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3차원 좌표변환에 의한 입체 컴퓨터 형성 홀로그램에 관한 연구 (A Study on Three-Dimensional Computer Generated Holograms by 3-D Coordinates Transformation)

  • 류원현;정만호
    • 한국광학회지
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    • 제17권6호
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    • pp.525-531
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    • 2006
  • 3차원 물체의 합성된 컴퓨터 형성 홀로그램(CGH)을 새로운 형태의 3차원 좌표변환 기술을 사용하여 제작하였다. 제작될 3차원 물체는 CCD 카메라를 사용하여 시야각도(viewing angle)를 변화시키면서 여러개의 영상으로 기록하였다. 이렇게 얻어진 영상 데이터는 2차원 복소 매트릭스를 사용하여 수학적인 방법으로 계산되고, 최종적으로 합성된 3차원 CGH로 부호화하였다.

레이저 스케너를 이용한 측정시 오차감소에 관한 연구 (A Study on reducing errors in scanning object using a laser s)

  • 홍성균;이희관;공영식;양균의
    • 한국공작기계학회:학술대회논문집
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    • 한국공작기계학회 2002년도 추계학술대회 논문집
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    • pp.393-398
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    • 2002
  • This study proposes a method to reduce error scanning data of laser scanner. The method co of 3 stages. First, there is an error indu difference of the distance between the prob the object. It is possible to reduce the e planning a scanning strategy: object settin path. Second, the scan data loss of the tooli affects calculating the tooling ball con z-direction compensation is given to calculat accurate registration points. Third, three p used to determine a transformation matrix on frame. As merging, the maximum error usually on the third tooling ball in the conven method, which select a point among three po randomly. We find the centroid of 3 points apply it to determine a new transformation mat

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탄소강의 펄라이트 변태에 대한 유한요소 해석 (Finite Element Analysis for Pearlite Transformation of Carbon Steel)

  • 탄소강
    • 한국생산제조학회지
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    • 제9권3호
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    • pp.69-75
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    • 2000
  • The object of the research is to estimate for pearlite structure of quenched carbon steels. The effects of temperature on physical properties metallic structures and the latent heat by phase transformation were considered. In this study a set of constitutive equations relevant to the analysis of thermo-elasto plastic materials with pearlite phase transformation during quenching process way presented on the basis of continuum thermo-dynamics. The iso-thermal transformation curve of the SM50C was formlated by cubic spline curve. The formulated equations of evolution in pearlite transformation was used for structure analysis. The volume fraction of pearlite was obtained from the results of calculated metallic structure by Finite element equation.

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외곽선이 Smooth 한 객체의 Medial 축 변환에의 새로운 접근 방법 (A New Approach to Medial Axis Transformation of Objects with Smooth Boundary)

  • 위남숙
    • 대한산업공학회지
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    • 제21권4호
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    • pp.571-580
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    • 1995
  • Medial axis transformation is an important concept used in many engineering applications. We propose a new approach to medial axis transformation of 2D objects with smooth boundary. Our approach differs from the traditional ones: we construct the medial axis starting from the inside points, while the previous algorithms started from the boundary points. As a result, previous algorithms are highly sensitive to the small irregularities of the object's boundary curve, while our approach is robust.

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복수의 거리영상 간의 변환계수의 추출 (Registration multiple range views)

  • 정도현;윤일동;이상욱
    • 전자공학회논문지S
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    • 제34S권2호
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    • pp.52-62
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    • 1997
  • To reconstruct the complete 3-D shape of an object, seveal range images form different viewpoints should be merged into a single model. The process of extraction of the transformation parameters between multiple range views is calle dregistration. In this paper, we propose a new algorithm to find the transformation parameters between multiple range views. Th eproposed algorithm consists of two step: initial estimation and iteratively update the transformation. To guess the initial transformation, we modify the principal axes by considering the projection effect, due to the difference fo viewpoints. Then, the following process is iterated: in order to extract the exact transformation parameters between the range views: For every point of the common region, find the nearest point among the neighborhood of the current corresponding point whose correspondency is defined by the reverse calibration of the range finder. Then, update the transformation to satisfy the new correspondencies. In order to evaluate the performance the proposed registration algorithm, some experiments are performed on real range data, acquired by space encoding range finder. The experimental results show that the proposed initial estimation accelerate the following iterative registration step.

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