• 제어로봇시스템학회:학술대회논문집
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• 제어로봇시스템학회 2000년도 제15차 학술회의논문집
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• pp.276-276
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• 2000

This paper presents the efficient algorithms for the pose determination of a circular object with and without a priori knowledge of the object radius. The developed algorithms valid for a circular object are the result of the elaboration of Ma's work [2], which determines the pose of a conic object from two perspective views. First, the geometric constraint of a circular object and its projection on the image plane of a camera is described. The number of perspective views required for the object pose determination with and without a priori knowledge of the object radius is also discussed. Second, with a priori knowledge of the object radius, the pose of a circular object is determined from a single perspective view. The object pose information, expressed by two surface normal vectors and one position vector, is given in a closed form and with no ambiguity. Third, without a priori knowledge of the object radius, the pose of a circular object is determined from two perspective views. While the surface normal vectors are obtained from the first view, the position vector is obtained from the two views.

• 대한수학교육학회지:수학교육학연구
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• 제12권4호
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• pp.457-472
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• 2002

In this paper, we deal with the algebraic thinking from the perspective of ‘process’ and ‘object’ aspects. Generally, mathematical concepts have come from the concrete process. We consider the origin of algebra as the arithmetic calculations. Also, the concept of school arithmetic is beginning from actions or procedures. However, in order to develop the alge- braic thinking and to apply this thinking, we have to see the history of algebraic thinking, and find this duality. Next we investigate various researches relating to the ‘process-object duality’. Theses studies suppose that the concept formation and thinking process should be stared from the process-object duality. Finally, we reinterprete many difficulties in algebra - equals sign, variables, algebraic expressions, and linear equations, the principle of permanence of form- from the perspective of the process-object duality.

• 대한수학교육학회지:학교수학
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• 제8권3호
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• pp.265-290
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• 2006

본 연구의 목적은 엑셀의 활용이 일차함수의 문제해결에 어떤 영향을 미치는가를 알아보는데 있다. 엑셀을 활용한 교수실험 전과 후에 학생들의 함수에 관한 문제해결에서의 변화를 알아보기 위해 사전 사후 문제해결검사를 실시하였다. 문제해결검사 분석은 정확한 과정-대상관점, 근접한 과정-대상관점, 부정확한 과정-대상관점으로 범주화해 이루어졌다. 문제해결검사 분석 결과, 교수실험에 참여한 학생들 모두 일차함수에 관한 문제해결관점이 바람직한 방향으로 변화되었다. 엑셀을 활용한 탐구학습환경이 지필환경의 제한점을 보완할 수 있다는 시사점을 도출하였다.

• 문화기술의 융합
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• 제8권6호
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• pp.953-958
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• 2022

홀로그래픽 스테레오그램은 여러 시점에서 취득한 다수의 이미지를 사용하므로 입체피로나 어지러움 없는 입체감을 제공한다. 홀로그래픽 스테레오그램을 제작하기 위해서는 실사 물체의 다시점 투영 이미지를 획득한 후 디지털 홀로그램 프린터를 이용해 필름에 기록하는 과정을 거쳐야 한다. 다시점 투영 이미지(Perspective Images)를 획득할 때, 대상 물체와 카메라 사이의 거리가 일정해야 왜곡 없는 홀로그램을 제작할 수 있다. 대상 물체가 소형이면카메라와의 거리를 일정하게 유지하는 것이 가능하지만, 대형인 경우에는 물체와 카메라와의 일정 거리 유지가 어렵다. 본 논문에서는 대형 물체의 홀로그램 제작에 필요한 다시점 투영 이미지를 획득하기 위해, 드론을 이용하여 스마트 비행 모드인 POI(Point of Interest)방법으로 촬영하였다. 이후, 예기치 못한 흔들림이나 대상 물체와의 거리가 일정하지 못한 부분은 후반에서의 작업을 통해 문제점을 보정하는 단계를 거쳐 대형 물체의 다시점 투영 이미지를 제작하였다.

• 한국학교수학회논문집
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• 제10권2호
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• pp.263-288
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• 2007

본 연구는 수학 7-가, 수학 8-가 교과서의 함수단원 분석을 통해 지필환경의 제한점을 알아본 후 탐구용 소프트웨어인 엑셀이 학생들의 일차함수의 과정-대상관점 형성 과정에 어떠한 영향을 미치는지 알아보는 것이다. 엑셀을 활용한 교수 실험은 학습능력 수준이 다른 다섯 명의 학생을 선정하여 중학교에서 다루고 있는 함수관련 내용을 중심으로 실시하였다. 교수실험은 5차시로 이루어졌으며, 각 학생의 활동 과정을 녹화, 녹음한 내용과 학생과의 면담, 관찰, 활동지 등을 분석하였다. 교수실험 결과, 엑셀을 활용해 식과 표와 그래프를 다양하게 조작한 역동적 탐구활동은 일차함수의 과정관점과 대상관점을 형성하는 데 중요한 비계설정(scaffolding) 역할을 했다.

• 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.

• 복식
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• 제53권7호
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• pp.57-68
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• 2003

The purpose of this study is to develop a creative perspective technique in fashion illustration through analyzing perspective in visual art experienced a great variety. This study was analyzed by examining the general theories based on the discovery of perspective and investigating the modern perspective in fashion illustration related to the method of spatial expression in visual art. A complex perspective of existing perspective gives the effect of reapperance of actual space and three-dimentional form in a plane. Because of being used as not only one perspective technique but also some perspectives technique, its expression can be more realistic. An amplified perspective gives the effect of visual illusion just like being suck in space inside and come out from screen outside by distorting the human body. A confused perspective of space gives the visual illusional effect of collapsing actual space and misunderstanding three-dimensional form by distorting the form of the space and changing the nature as an object of fashion. A reiterated or duplicated perspective gives effect of interpreting invisible space as imaginary space by overlapping and eliminating the object of fashion. An irrational perspective of spatial illusion gives the effect of disorganization experienced thinking by strange shapes and new recognition of irrational space by extraordinary visual connection. It has a tendency to surrealism. In conclusion, the modern perspective in fashion illustration has made the best use of not only new perspective since 1980, but general perspective before 1980. By the modern perspective expression. the viewer has made a chance to experience imaginary spaces indirectly, and the author has been able to express emotions by his or her new attempt in the screen.

• Journal of Multimedia Information System
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• 제6권4호
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• pp.235-238
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• 2019

In real world object detection is an active research topic for understanding different objects from images. There are different models presented in past and had significant results. In this paper we are presenting vehicle logo detection using previous object detection models such as You only look once (YOLO) and Faster Region-based CNN (F-RCNN). Both the front and rear view of the vehicles were used for training and testing the proposed method. Along with deep learning an image pre-processing algorithm called perspective transformation is proposed for all the test images. Using perspective transformation, the top view images were transformed into front view images. This algorithm has higher detection rate as compared to raw images. Furthermore, YOLO model has better result as compare to F-RCNN model.

• 한국정밀공학회지
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• 제13권9호
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• pp.104-113
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• 1996

In robot system, the robot manipulation needs the information of task and objects to be handled in possessing a variaty of positions and orientations. In the current industrial robot system, determining position and orientation of objects under industrial environments is one of major problems. In order to pick up an object, the roblt needs the information about the position and orientation of object, and between objects and gripper. When sensing is accomplished by pinhole model camera, the mathematical relationship between object points and their images is expressed in terms of perspective, i.e., central projection. In this paper, a new approach to determine the information of the supporting points related to position and orientation of the object using the robot vision system is developed and testified in experimental setup. The result will be useful for the industrial, agricultural, and autonomous robot.

• 제어로봇시스템학회논문지
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• 제18권1호
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• pp.35-41
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• 2012

This paper proposes a moving object detection algorithm for active camera system that can be applied to mobile robot and intelligent surveillance system. Most of moving object detection algorithms based on a stationary camera system. These algorithms used fixed surveillance system that does not consider the motion of the background or robot tracking system that track pre-learned object. Unlike the stationary camera system, the active camera system has a problem that is difficult to extract the moving object due to the error occurred by the movement of camera. In order to overcome this problem, the motion of the camera was compensated by using SURF and Pseudo Perspective model, and then the moving object is extracted efficiently using stochastic Label Cluster transport model. This method is possible to detect moving object because that minimizes effect of the background movement. Our approach proves robust and effective in terms of moving object detection in active camera system.