• Title/Summary/Keyword: object transformation

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Object-Oriented Petri Net Model for Representation of Flexible Process Plan (유연공정계획 표현을 위한 객체지향형 페트리네트 모델)

  • Lee, Kyung-Huy
    • Journal of Korean Institute of Industrial Engineers
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    • v.23 no.4
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    • pp.669-686
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    • 1997
  • In this research, an object-oriented Petri net model for representing a flexible process plan is proposed, which is hierarchically multi-faceted for supporting planning, scheduling, and shop floor control functions. The multi-faceted process plan model consists of the following: a) an object model which represents on object-oriented data model, b) a static model which represents a process flow model with process alternatives, and c) a dynamic model which represents a process activity model with resources alternatives, of a flexible process plan. Petri nets allow the static and the dynamic process plan models to be represented in a unified formalism with an ease of model transformation. The multi-faceted process plan model suggested in this paper, is illustrated with a prismatic port in comprehensive detail.

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Moving Object Detection in Pan-Tilt Camera using Image Alignment (영상 정렬 알고리듬을 이용한 팬틸트 카메라에서 움직이는 물체 탐지 기법)

  • Baek, Young-Min;Choi, Jin-Young
    • Proceedings of the KIEE Conference
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    • 2008.10b
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    • pp.260-261
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    • 2008
  • 이동 물체 탐지(Object Detection) 기법은 대부분의 감시 시스템에서 가장 초기 단계로서, 이후에 물체 추적(Object Tracking) 및 물체 식별(Object Classification) 등의 지능 알고리듬에 입력으로 사용된다. 따라서 물체의 윤곽의 변화 없이 최대한 정교하게 이동 물체 영역 맵을 생성하는 것이 물체 탐지의 가장 중요한 요소가 된다. 카메라가 고정되어 있는 경우에는 현재 들어오는 영상에 대한 확률적 배경 모델을 생성할 수 있지만, 팬틸트 카메라와 같이 영상의 좌표가 변하는 환경에서는 배경 모델도 계속 변하기 때문에 기존의 배경 모델을 그대로 사용할 수 없다. 본 논문에서는 팬틸트 카메라와 같이 동적인 카메라에서 이동 물체 탐지를 위해, 국소 특징점(Local Feature)를 통해 카메라의 움직임을 판단하여 연속되는 영상간의 변환 행렬(Transformation Matrix)를 구하고 하고, 확률적 배경 모델링을 통한 이동 물체 탐지 기법을 제안한다. 자제 촬영한 이동 카메라 실험영상을 통해서 이 알고리듬이 동적 배경에서도 매우 강인하게 동작하는 것을 검증하였다.

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Development of a Pre-Processing Program for Flow Analysis Based on the Object-Oriented Programming Concept (OOP 개념에 기초한 유동해석용 전처리 프로그램 개발)

  • Myong, Hyon-Kook;Ahn, Jong-Ki
    • Transactions of the Korean Society of Mechanical Engineers B
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    • v.32 no.1
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    • pp.70-77
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    • 2008
  • A pre-processing program based on the OOP(object-oriented programming) concept has been developed. The program consists of the input of a 2D or 3D flow problem to a CFD program by means of an user-friendly interface and the subsequent transformation of this input into a form suitable for the solver(PowerCFD) using unstructured cell-centered method. User-friendly GUI(graphic user interface) has been built on the base of MFC(Microsoft Foundation Class). The program is organized as modules by classes based on VTK(Visualization ToolKit)-library, and these classes are made to function through inheritance and cooperation which is an important and valuable concept of object-oriented programming. The major functions of this program are introduced and demonstrated, which include mesh generation, boundary settings, solver settings, generation of grid connectivity and geometric data etc.

Three Dimensional Geometric Feature Detection Using Computer Vision System and Laser Structured Light (컴퓨터 시각과 레이저 구조광을 이용한 물체의 3차원 정보 추출)

  • Hwang, H.;Chang, Y.C.;Im, D.H.
    • Journal of Biosystems Engineering
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    • v.23 no.4
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    • pp.381-390
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    • 1998
  • An algorithm to extract the 3-D geometric information of a static object was developed using a set of 2-D computer vision system and a laser structured lighting device. As a structured light pattern, multi-parallel lines were used in the study. The proposed algorithm was composed of three stages. The camera calibration, which determined a coordinate transformation between the image plane and the real 3-D world, was performed using known 6 pairs of points at the first stage. Then, utilizing the shifting phenomena of the projected laser beam on an object, the height of the object was computed at the second stage. Finally, using the height information of the 2-D image point, the corresponding 3-D information was computed using results of the camera calibration. For arbitrary geometric objects, the maximum error of the extracted 3-D feature using the proposed algorithm was less than 1~2mm. The results showed that the proposed algorithm was accurate for 3-D geometric feature detection of an object.

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Haptic Interaction with Objects Displayed in a Picture based on Surface Normal Estimation (사진 속 피사체의 법선 벡터 예측에 기반한 햅틱 상호 작용)

  • Kim, Seung-Chan;Kwon, Dong-Soo
    • The Journal of Korea Robotics Society
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    • v.8 no.3
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    • pp.179-185
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    • 2013
  • In this paper we propose a haptic interaction system that physically represents the underlying geometry of objects displayed in a 2D picture, i.e., a digital image. To obtain the object's geometry displayed in the picture, we estimate the physical transformation between the object plane and the image plane based on homographic information. We then calculate the rotated surface normal vector of the object's face and place it on the corresponding part in the 2D image. The purpose of this setup is to create a force that can be rendered along with the image without distorting the visual information. We evaluated the proposed haptic rendering system using a set of pictures of objects with different orientations. The experimental results show that the participants reliably identified the geometric configuration by touching the object in the picture. We conclude this paper with a set of applications.

A method for image processing by use of inertial data of camera

  • Kaba, K.;Kashiwagi, H.
    • 제어로봇시스템학회:학술대회논문집
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    • 1998.10a
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    • pp.221-225
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    • 1998
  • This paper is to present a method for recognizing an image of a tracking object by processing the image from a camera, whose attitude is controlled in inertial space with inertial co-ordinate system. In order to recognize an object, a pseudo-random M-array is attached on the object and it is observed by the camera which is controlled on inertial coordinate basis by inertial stabilization unit. When the attitude of the camera is changed, the observed image of M-array is transformed by use of affine transformation to the image in inertial coordinate system. Taking the cross-correlation function between the affine-transformed image and the original image, we can recognize the object. As parameters of the attitude of the camera, we used the azimuth angle of camera, which is de-fected by gyroscope of an inertial sensor, and elevation an91e of camera which is calculated from the gravitational acceleration detected by servo accelerometer.

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Efficient Tracking of a Moving Object using Optimal Representative Blocks

  • Kim, Wan-Cheol;Hwang, Cheol-Ho;Lee, Jang-Myung
    • International Journal of Control, Automation, and Systems
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    • v.1 no.4
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    • pp.495-502
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    • 2003
  • This paper focuses on the implementation of an efficient tracking method of a moving object using optimal representative blocks by way of a pan-tilt camera. The key idea is derived from the fact that when the image size of a moving object is shrunk in an image frame according to the distance between the mobile robot camera and the object in motion, the tracking performance of a moving object can be improved by reducing the size of representative blocks according to the object image size. Motion estimations using Edge Detection (ED) and Block-Matching Algorithm (BMA) are regularly employed to track objects by vision sensors. However, these methods often neglect the real-time vision data since these schemes suffer from heavy computational load. In this paper, a representative block able to significantly reduce the amount of data to be computed, is defined and optimized by changing the size of representative blocks according to the size of the object in the image frame in order to improve tracking performance. The proposed algorithm is verified experimentally by using a two degree-of- freedom active camera mounted on a mobile robot.

Improved Object Tracking using Surrounding Information Detection (주변정보 검출을 통한 개선된 객체추적 기법)

  • Cho, Chi-young;Kim, Soo-Hwan
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2013.10a
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    • pp.1027-1030
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    • 2013
  • For the detection of objects in the videos, there are various ways that use the frequency transformation. In the videos, the images of objects could be changed slightly. Object detection methods using frequency transformation such as ASEF and MOSSE have the ability to renew the detection filter in order to deal with the change of object images. But these approaches are likely to fail the detection because the image changes often occur when they come out again after being hidden by other objects. What is worse, when they show up again, they appear in another place, not the original one. In this paper, a new proposal is present so that the detection can be carried out efficiently even when the images come out in other place, and the failure of the detection can be reduced.

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The Birth and Transformation of the Modern Civil Engineers in France - Focused on the Ecole des Ponts et Chauss$\acute{e}$es - (프랑스 근대 토목엔지니어의 탄생과 변모 - 토목학교를 중심으로 -)

  • Moon, Ji-Young
    • Journal of Engineering Education Research
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    • v.14 no.5
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    • pp.67-74
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    • 2011
  • The object of this study is to examine the process of the birth and transformation of civil engineering education as well as of modern civil engineers, called 'State noblesse', in the state engineer groups of France. For this, we will look into the background of founding the civil engineer corps and the civil engineering school, the transformation process of the civil engineering school into the applied school of Ecole Polytechnique, the activities of civil engineers in the industrialization process, and finally the organization and identity of the civil engineer group.

Research on the transformation of smart museums under the Internet thinking: A case study on the palace museum

  • Peng, JingYi;Jin, XueHua
    • International Journal of Advanced Culture Technology
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    • v.10 no.3
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    • pp.377-392
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    • 2022
  • With the development of information and Internet technology, traditional museums have been long followed the trend of integrating innovative technological elements into the changed museums. It is necessary that the museums seize the opportunity of the trend transforming into smart museums, the key is to grasp the characteristics and laws of the Internet era, and use Internet thinking to explore the future development path. However, there are few studies on Internet thinking among the existing results. On the other hand, most of the relevant actual case studies still focus on the micro-level, which has obvious limitations. This paper will start from the current situation and trend, focus on the Palace Museum as a case study object, and discuss the problems and characteristics, so as to put forward the thinking about the development of smart museums in four aspects to explore the optimal path of transformation for smart museums.