• 대한토목학회논문집
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• 제29권1D호
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• pp.129-134
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• 2009

본 논문은 지상기준점 좌표를 사용하지 않고 여러 대의 CCD 카메라와 GPS만을 이용하여 피사체의 크기를 측정할 수 있는 근접사진측량모델의 개발에 관한 것이다. 카메라 렌즈의 왜곡보정모델과 CCD 카메라의 사양으로 구성되는 내부표정 요소와 상호표정과 축척보정을 통한 모델좌표계상의 외부표정요소 계산으로 구성되는 사진측량모델을 개발하였다. 개발된 모델을 검증하기 위하여 피사체의 크기측정실험을 수행하였으며 측정 결과를 실측 결과와 비교하여 정확도를 평가하였다. 평가 결과 본 연구를 통하여 개발한 근접사진측량모델을 이용할 경우 높은 정확도의 피사체 크기 측정이 가능한 것으로 나타났다.

• 한국정보과학회논문지:시스템및이론
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• 제27권3호
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• pp.300-312
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• 2000

내장 실시간 시스템은 그 응용 분야가 매우 다양하며 그에 따라 실시간 처리와 신뢰도 보장에 대한 요구 또한 다양하다. 이러한 내장 실시간 시스템의 효율적인 개발과 실시간성 및 신뢰도 보장을 위해서는 적절한 실시간 모델이 필요하다. 최근 들어 객체지향 모델과 실시간 시스템을 접목시키는 실시간 객체 모델에 대한 연구가 활발하다. 본 논문에서 제안하는 dRTO (dependable Real-Time Object) 모델은 내장 실시간 시스템의 다양한 요구사항을 지원할 수 있도록 객체지향 개념, 실시간 개념, 신뢰성 개념 등을 단일 모델에 수용한다. 그리고 이 3 가지 기본 개념을 지원하기 위해서 5 가지 원시 클래스를 제공한다. dRTO 모델의 특징은 다음과 같다. 첫째, 객체의 시간 제약사항은 물론 객체 간의 상호작용과 관련된 시간 제약을 효율적으로 모델링하고 구현할 수 있도록 해준다. 둘째, 내장 시스템을 구성하는 하드웨어, 응용 소프트웨어, 커널 등을 하나의 틀 안에서 모델링할 수 있다. 셋째, 결함 감지 및 처리에 관해 명시적으로 표현할 수 있다.

• 대한전기학회:학술대회논문집
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• 대한전기학회 1990년도 추계학술대회 논문집 학회본부
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• pp.460-464
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• 1990

Texture provides an important source of information about the local orientation of visible surfaces. An important task that arises in many computer vision systems is the reconstruction of three-dimensional depth information from two-dimensional images. The surface orientation of texel is classified by the Artificial Neural Network. The classification method to recognize the shape of 3D object with artificial neural network requires less developing time comparing to conventional method. The segmentation problem is assumed to be solved. The surface in view is smooth and is covered with repeated texture elements. In this study, 3D shape reconstruct using interpolation method.

• 대한원격탐사학회:학술대회논문집
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• 대한원격탐사학회 2003년도 Proceedings of ACRS 2003 ISRS
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• pp.183-185
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• 2003

Spatially referenced mobile mapping (MM) images contain rich information of man-made objects , e.g. road centerlines, buildings, light poles, traffic signs ,billboards and line trees etc. Therefore, the applications in transportation, urban 3D reconstruction, utility management are implemented increasingly. It’s a fundamental issue lies in MM image process that how to orient this image in the object space including interior orientation of camera and the exterior orientation of image. In this paper, the algorithm of automatic acquirement of DC (Digital Camera) parameters based on MM images is illustrated. And then, the mapping between image space and object space for MM images is described.

• 로봇학회논문지
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• 제10권1호
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• pp.16-23
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• 2015

This paper presents a method of improving the pose recognition accuracy of objects by using Kinect sensor. First, by using the SURF algorithm, which is one of the most widely used local features point algorithms, we modify inner parameters of the algorithm for efficient object recognition. The proposed method is adjusting the distance between the box filter, modifying Hessian matrix, and eliminating improper key points. In the second, the object orientation is estimated based on the homography. Finally the novel approach of Auto-scaling method is proposed to improve accuracy of object pose estimation. The proposed algorithm is experimentally tested with objects in the plane and its effectiveness is validated.

• 한국정밀공학회:학술대회논문집
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• 한국정밀공학회 1996년도 추계학술대회 논문집
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• pp.733-737
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• 1996

This paper presents a method to measure tile position and orientation of a prismatic polyhedral object (of unknown width, length, height, and number of vertices) using machine vision. The width, length, and origin of workplace where an object is lying are defined as Preliminary operation. The edges of an object are detected from captured image using least sum of square error. The information of an object is determined from the geometric relationships between edges. As an user interface, a versatile image processing program is developed in several modules, and renders a very useful 3D measurement at a limited constraints when adopted in automation of production process. The flexibility of camera position from the algorithm developrf can be used for automated pick and place operations and feeding workpiece u: ;ing assembly robot.

• Journal of Multimedia Information System
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• 제9권3호
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• pp.183-190
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• 2022

Image-based 3D object detection is one of the important and difficult problems in autonomous driving and robotics, and aims to find and represent the location, dimension and orientation of the object of interest. It generates three dimensional (3D) bounding boxes with only 2D images obtained from cameras, so there is no need for devices that provide accurate depth information such as LiDAR or Radar. Image-based methods can be divided into three main categories: monocular, stereo, and multi-view 3D object detection. In this paper, we investigate the recent state-of-the-art models of the above three categories. In the multi-view 3D object detection, which appeared together with the release of the new benchmark datasets, NuScenes and Waymo, we discuss the differences from the existing monocular and stereo methods. Also, we analyze their performance and discuss the advantages and disadvantages of them. Finally, we conclude the remaining challenges and a future direction in this field.

• 가정과삶의질연구
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• 제13권4호
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• pp.15-24
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• 1995

This study aims both to find the desirable orientation of the home management which have been often discussed in the academy of the home management since 1970's and to present a curriculum as a practical way of solving the problem of orientation. We conclude that the problems of the orientation have due partly to unprofessionalized mixture of sub-areas in the home management and partly to narrowed specialization in each sub-area. We suggest that the problems can be solved when 'family lives' is the main object of the home management and when the home management is approached on the viewpoint of 'integration' rather than 'specialization' The curriculum based on the analysis is consisted of 4 spheres; 1) basic subjects of family lives ) basic concepts and theories 3) subjects for Korean family lives 4) subjects for family counseling and policy.

• 한국정밀공학회:학술대회논문집
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• 한국정밀공학회 2003년도 춘계학술대회 논문집
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• pp.176-180
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• 2003

The paper presents an efficient method of extracting line segment in a local map of a robot's surroundings. The local map is composed of 2-D grids that have both the occupancy and orientation probabilities using sonar sensors. To find the shape of an object in a local map from orientation information, the orientations are clustered into several groups according to their values. The line segment is , then, extracted from the clusters based on Hough transform. The proposed technique is illustrated by experiments in an indoor environment.

• 한국산학기술학회:학술대회논문집
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• 한국산학기술학회 2011년도 추계학술논문집 1부
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• pp.78-81
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• 2011

본 연구는 서부 경남 및 부산지역 비영리조직을 중심으로 한 기업가지향성과 시장지향성 그리고 경영성과 간의 매개모형을 연구하고자 하였다. 결과적으로, 가설 1 은 기업가지향성인 위험감수성은 경영성과인 재무성과는 유의한 영향을 미치지 못했으며, 그리고 가설 2 부터가설 8까지는 유의한 영향을 미치는 것으로 나타나 가설이 채택되었다. 본 연구는 향후 비영리조직과 단체의 다양한 분야에서 적합한 시스템 도입에 유용한 자료가 될 수 있을 것이다.