• 제목/요약/키워드: 2-D shape

검색결과 2,492건 처리시간 0.033초

2-D 이동물체의 형태 정보 분석을 위한 특징 파라미터 추출 (Feature Parameter Extraction for Shape Information Analysis of 2-D Moving Object)

  • 김윤호;이주신
    • 한국통신학회논문지
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    • 제16권11호
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    • pp.1132-1142
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    • 1991
  • 본 논문에서는 이동물체의 형태정보를 분석을 위한 이동물체의 특징파라미터를 추출하는 기법을 제안하였다. 이차원 영상에서 이동물체의 추출은 차영상 기법을 이용하였다. 이동물체의 특징 파라미터는 면적과 둘레, 면적과 둘레의 비(A/P ratio), 굴곡점(Vertex), 종횡비(X/Y ratio)로 하였다. 휘도 변화를 600 Lux${\sim}$1400 Lux로 가변시켜 휘도변화에 대한 각 특징파라미터의 오차 허용범위를 결정하였다. 제안된 방법의 타당성을 입증하기 위하여 모형 자동차를 이용하여 동일성을 판별한 결과 판정오류는 6%미만이었다.

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투과성 잠제의 폭 변화에 따른 파랑감쇠 효과에 관하여 (On wave damping effect due to the crest width variation of a permeable submerged breakwater)

  • 허동수;최동석;배기성
    • 한국해양공학회:학술대회논문집
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    • 한국해양공학회 2006년 창립20주년기념 정기학술대회 및 국제워크샵
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    • pp.453-456
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    • 2006
  • To examine the effect of shape and crest width variation of a permeable submerged breakwater on the wave energy dissipation, Two-Dimensional numerical model with Large Eddy Simulation, which is able to simulate directly WAve Structure Seabed interaction (hereafter, LES-WASS-2D) has been newly developed. A good agreement has been obtained by the comparison between the existing experimental results and LES-WASS-2D model's results for the permeable submerged breakwater. Moreover, based on the LES-WASS-2D model, the wave energy dissipation due to a permeable submerged breakwater are discussed for regular and irregular waves with relation to its crest width and shape.

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디지털 영사식 무아레를 이용한 3차원 형상 측정과 응용에 관한 연구(II) (A Study on 3-D Shape Measurement and Application by Using Digital Projection Moire (II))

  • 유원재;강영준;노형민;이동환
    • 한국정밀공학회지
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    • 제24권5호
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    • pp.62-67
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    • 2007
  • A simple dimension measuring method for the measurement of human bust has been developed using projection moire. The 3-D data of a human bust was calculated from the 2dimensional image information obtained by the stripe using projection moire. The creation of 3-D geometric shape by digitizing real objects has been widely investigated in reverse engineering(RE). This procedure generally consists of three basic steps: data capture, data alignment and model reconstruction. In order to achieve a complete model, multiple scans must be taken and aligned.

폴리머와 산화알루미나 연마재를 이용한 마이크로 버 제거 특성에 관한 연구 (A Study of Micro De-burring Characteristics using Polymer and $Al_2O_3$ Abrasive)

  • 손종인;이정원;김준기;윤길상
    • 한국정밀공학회지
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    • 제28권5호
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    • pp.578-584
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    • 2011
  • In mechanical cutting process, burr was generated at workpiece by cutting tool generally. It is working disturbance during manufacturing process. Besides burr was taken shape relatively large size more micro scale machining than macro scale machining. Many researches have been studied to remove micro burr(de-burring), because it was negative effect for accuracy of machining shape. However, micro de-burring was constrained by burr height, micro feature and so on. In this paper, experimental research was carried out to compare de-burring characteristics of $Al_2O_3$ abrasive and polymer.

3차원 형상 복원을 위한 다중시점 영상 디블러링 (Multi-View Image Deblurring for 3D Shape Reconstruction)

  • 최호열;박인규
    • 전자공학회논문지
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    • 제49권11호
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    • pp.47-55
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    • 2012
  • 본 논문에서는 객체의 모션 블러(motion blur)를 포함하고 있는 다중시점(multi-view) 영상을 이용하여 객체의 3차원 형상 복원시 영상을 효과적으로 디블러링(deblurring)하여 3차원 형상 복원의 정확도를 높이는 기법을 제안한다. 다중시점 영상의 디블러링 수행시 다중시점 영상 간의 기하학적 상관관계를 고려하여 보다 정확히 PSF (point spread function)를 구함으로써 결과적으로 보다 정확한 3차원 형상 복원을 수행할 있다. 제안하는 기법은 각각의 입력 영상에서 초기 2D PSF를 독립적으로 구한 후, 3차원 PSF의 후보를 각 입력 영상의 카메라 행렬에 의해 투영했을 때 이들에 전역적으로 가장 잘 부합하는 3D PSF를 탐색한다. 3D PSF는 방향과 밀도 성분으로 구성되며 이는 결국 3차원 공간에서의 물체의 움직임 궤적과 동일하다. 추정된 3D PSF는 각 영상으로 다시 투영되어 각 영상의 2D PSF로 추정되고, 이에 의해 각 영상의 디블러링을 수행한다. 본 논문에서 제안하는 기법을 이용하여 다중시점 영상 디블러링과 3차원 형상 복원을 수행한 결과, 단일 영상만을 이용하여 복원할 경우에 비하여 디블러링과 3차원 형상 복원 모두 현저히 개선된 결과를 확인할 수 있다.

3차원 인체 스캔 데이터를 활용한 Hip-hugger 의류용 벨트 패턴 설계 (Belt Pattern Making for Hip-hugger garment using 3D Body Scan Data)

  • 박순지;최신애
    • 한국의류산업학회지
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    • 제10권5호
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    • pp.652-659
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    • 2008
  • This study was designed to testify the possibility and devise the method to manipulate the 3D body scan data to produce rounded-belt pattern adaptable to hip-type variation of women in their 20's. The results of this research were as follows : Firstly, based on drop-value distribution of hip and waist girth, 151 subjects were classified into three hip-types; Type 1 (15.23%) was 'cylinder type', showing lowest drop-value, Type 2 (69.54%) was 'average type' and Type3 (15.23%) was 'hourglass type' showing highest drop-value. Secondly, using CAD program, design lines for round shape belt were set on the surface of 3D scan data of representative subject of each type. And divided 3D surfaces were flattened onto the plane by the internal tools of CAD program. The measure, 'lifting value of round belt pattern', implying the level of curve ratio of pattern was higher in back than front. This result might be linked to the fact that the hip part is more protruded than the abdomen part. And the measures also showed highest values in Type 3(hourglass type) and lowest in Type 1(cylinder type), meaning that the pattern of Type 3 showed more rounded shape than that of Type 1. This finding implied that round belt for body type having high drop-value should be shaped more curved. Thirdly, difference ratios of outline length and area between 3D curves(body surface) and 2D plane(pattern) were 4.5% and 1.3%, respectively. This result demonstrated and solidified the feasibility of designing digital garment pattern from 3D body scan data.

Noise Reduction Approach of Nonlinear Function for a Range Image using 2-D Kalman Filtering Method

  • Katayama, Jun;Sekin, Yoshifumi
    • 대한전자공학회:학술대회논문집
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    • 대한전자공학회 2000년도 ITC-CSCC -2
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    • pp.898-901
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    • 2000
  • A new 2-D block Kalman filtering method which uses a nonlinear function is presented to generate a more accurate filtered estimate of a range image that has been corrupted by additive noise. Novel 2-D block Kalman filtering method is constructed of the conventional method and nonlinear function which utilizes to control estimation error. We show that novel 2-D Kalman filtering method using a nonlinear function is effective at reducing the additive noise, not distorting shape edges.

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Teaching the Derivation of Area Formulas for Polygonal Regions through Dissection-Motion-Operations (DMO): A Visual Reasoning Approach

  • Rahim, Medhat H.
    • 한국수학교육학회지시리즈D:수학교육연구
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    • 제14권3호
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    • pp.195-209
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    • 2010
  • Utilizing a structure of operations known as Dissection-Motion-Operations (DMO), a set of mathematics propositions or area-formulas in school mathematics will be introduced through shape-to-shape transforms. The underlying theme for DMO is problem-solving through visual reasoning and proving manipulatively or electronically vs. rote learning and memorization. Visual reasoning is the focus here where two operations that constitute DMO are utilized. One operation is known as Dissection (or Decomposition) operation that operates on a given region in 2D or 3D and dissects it into a number of subregions. The second operation is known as Motion (or Composition) operation applied on the resultant sub-regions to form a distinct area (or volume)-equivalent region. In 2D for example, DMO can transform a given polygon into a variety of new and distinct polygons each of which is area-equivalent to the original polygon (cf [Rahim, M. H. & Sawada, D. (1986). Revitalizing school geometry through Dissection-Motion Operations. Sch. Sci. Math. 86(3), 235-246] and [Rahim, M. H. & Sawada, D. (1990). The duality of qualitative and quantitative knowing in school geometry, International Journal of Mathematical Education in Science and Technology 21(2), 303-308]).

영상처리를 이용한 홍삼의 외형선별 시스템 개발 (Development of a Korean Red-Ginseng’s Shape Sorting System Using Image Processing)

  • 장요한;장동일;방승훈
    • Journal of Biosystems Engineering
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    • 제26권3호
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    • pp.279-286
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    • 2001
  • The purpose of this study were to organize a sorting system, to develop an algorithm of image processing for the shape sorting, and to finally develop a scientific and objective shape sorting system of Korean Red-Ginseng for mechanization of the shape sorting. The results of this study are followed. 1. The shape sorting system of Korean Red-Ginseng consists of a control computer, a color CCD camera(WV-CP4110) for image processing, an image processing board(DT3153), and an image acquisition unit. 2. Many image processing skill, such as sliding, stretching, threshold, binary and D$\sub$t/ were used to analyze the shape sorting factors of Korean Red-ginseng. 3. The sorting accuracy of the shape sorting system for the Korean Red-Ginseng was 74.7%. It is 21.1% lower than that of human inspector. Although the system has low accuracy, using more cameras may improve its sorting accuracy.

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Properties of Two-dimensional M-transform with Applications to Image Processing

  • Kashiwagi, Hiroshi;Harada, Hiroshi;Yamaguchi, Teruo;Andoh, Toshiyuki
    • 제어로봇시스템학회:학술대회논문집
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    • 제어로봇시스템학회 2002년도 ICCAS
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    • pp.86.4-86
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    • 2002
  • 1. Review of one dimensional M-transform 2. Definition of two dimensional(2D)M-transform 3. Properties of 2D M-transform 4. Mean, Autocorrelation 5. Crosscorrelation of input and output of a system 6. Application to fault detection of mechanical shape

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