• 제목/요약/키워드: Geometry Mapping

검색결과 136건 처리시간 0.031초

밉맵 기반의 지연된 부드러운 그림자 매핑 (Mipmap-Based Deferred Soft Shadow Mapping)

  • 김성구;이성길
    • 정보과학회 논문지
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    • 제43권4호
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    • pp.399-403
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    • 2016
  • 컴퓨터그래픽스에서 지연된 음영처리는 깊이 버퍼링을 이용하여 화면에 나타날 기하 정보만을 저장한 후, 픽셀 음영처리를 화면공간에서 후처리하는 기법이다. 일반적인 그림자 매핑과 달리 후처리 기반 기법은 렌더링 파이프라인 구조의 변화 없이 적용이 가능하므로 다중 광원에 의한 그림자 효과를 다루기에 적합하다. 본 논문에서는 지연된 음영처리 기반의 그림자 생성 방법과 밉맵을 이용하여 이를 부드러운 그림자로 확장하는 방법을 제안한다. 광원으로부터 가시도 맵을 저장한 후, 밉맵 필터링을 통해 가시도 맵을 블러한 후 음영처리 결과에 적용한다. 이러한 기법은 부드러운 그림자 효과를 얻지만, 픽셀 깊이에 관계없는 필터링으로 인해 빛샘 현상이 발생할 수 있다. 이러한 빛샘 현상을 제거하기 위해 본 논문은 또한 화면공간에서의 깊이 차이에 따른 적응형 샘플링 기법을 제안한다.

3차원 CAD에서 STEP Part111을 통한 AP224 특징형상 데이터 번역 (AP224 based Feature Translation from 3D CAD through STEP Part111)

  • 김준환
    • 한국CDE학회논문집
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    • 제11권4호
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    • pp.303-314
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    • 2006
  • The exchange of CAD (Computer Aided Design) models between different CAD systems and to downstream applications such as manufacturing has become very important to modem industry. One serious current issue is that the process cannot automatically import existing 3-D solid models in a variety of commercial CAD formats into the process without manually re-mastering the model in current standard including "SIEP AP(Application Protocol) 203 Edition 1" To fully integrate technical data from the design agency to the shop floor, design intent and validated 3D geometry of feature based parametric CAD model should be brought into the standardized processes. To overcome this limitation, AP203 Edition 2 (Ed.2) and its related STEP parts such as Part55, Part108, Part109, Part111 and Part112 are starting to be available to handle this problem. The features in Part111 are harmonized with the machining features available in AP224. This paper is focused on two mapping technologies: CAD to Part111 mapping and Pat111 to AP224 mapping including case studios and it will provide the guideline about what should be done next in the AP203 Ed.2 to AP224 mapping. The final goal of this project is to integrate technical data from CAD to AP224 based manufacturing information through AP203 Ed.2.

토목설계 및 시공분야 지반조사를 위한 절리 단면 영상법 개발 및 그의 응용사례 (Development of fracture face mapping algorithm and its applications to the design of various engineering and environmental works.)

  • 김중열;김유성;김기석
    • 한국지반공학회:학술대회논문집
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    • 한국지반공학회 2002년도 봄 학술발표회 논문집
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    • pp.119-126
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    • 2002
  • Fractures, especially faults have most significant influence on the difficulties encountered in various engineering and mining works, because they can give rise to inevitable reductions in shear strength as well as large increase in permeability. Thus, before underground access is possible, it is desirable to estimate the distribution and geometry of fractures in advance, if reliable structural data from e.g. Televiewer tool are available. To this end, fracture face mapping is just the evaluation method used to form a fracture image determined by intersecting of each fracture plane with a selected plane section of a rock mass, assuming that all fractures be planar with fixed-aperture. Although many fractures are geometrically complex and others are altered chemically, according to the abundant experiments in recent years, it would seem that the technique could be applied to benefit the design of numerous engineering works such as slope stability, tunnel excavations, dam foundation and diverse environmental works. This paper presents at first an evaluation algorithm for fracture face mapping and then concludes with various representative examples of applications.

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드론 탑재 복합센서의 매핑 정확도 분석: 데이터 취득 환경에 따른 사전 캘리브레이션 여부를 중심으로 (Analysis on Mapping Accuracy of a Drone Composite Sensor: Focusing on Pre-calibration According to the Circumstances of Data Acquisition Area)

  • 전일서;함상우;이임평
    • 대한원격탐사학회지
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    • 제37권3호
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    • pp.577-589
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    • 2021
  • 드론 매핑 시스템은 재난 피해 조사, 국토 환경 모니터링, 건설 공정 모니터링 등 여러 분야에 응용 가능하다. 드론에 장착된 다양한 개별 센서를 통합하여 활용하려면 시간동기화 등 여러가지 절차가 필요했다. 최근, 영상 센서와 GPS/INS가 함께 내장된 복합센서가 다수 출시되었다. 복합센서는 여러 가지 센서 데이터를 내부적으로 통합하여, 위치/자세를 영상 파일에 바로 태깅하여 제공한다. 이러한 복합센서를 드론 매핑 시스템에 활용하려면 매핑 정확도를 확인해 볼 필요가 있다. 이에 본 연구에서는 다양한 데이터 취득 환경과 사전 캘리브레이션 여부를 중심으로 복합센서의 매핑 정확도를 확인하였다. 첫째, 매핑 정확도가 지상기준점의 개수에 따라 어떻게 변하는지 살펴보았다. 지상기준점 개수가 2개일 때부터 총 RMSE가 1 m 이상에서 약 60 cm로 40 cm가량 줄어드는 것을 확인할 수 있었다. 둘째, 데이터 취득 상황과 사전 캘리브레이션 여부에 따른 매핑 정확도를 확인하였다. 지상기준점이 있는 경우에는 개수가 적을지라도 사전 캘리브레이션의 영향이 크지 않은 것을 확인할 수 있었다. 영상의 중복도가 충분하지 않을 때는 사전 캘리브레이션 하는 것이 정확도 개선에 영향을 주는 것을 확인할 수 있었다. 지상기준점이 없는 경우에는 카메라, 탑재체 모두 사전 캘리브레이션 하는 것이 정확도를 개선시키는데 영향이 있음을 확인하였다. 본 연구를 기반으로, 향후 복합센서를 이용한 드론 매핑 수행 시 데이터 취득 조건에 따라 지상기준점 측량과 캘리브레이션 과정을 효율화 하는데 기여할 것으로 기대한다.

신경회로망과 수학적 방정식을 이용한 최적의 용입깊이 예측에 관한 연구 (A Study on Prediction of Optimized Penetration Using the Neural Network and Empirical models)

  • 전광석
    • 한국생산제조학회지
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    • 제8권5호
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    • pp.70-75
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    • 1999
  • Adaptive control in the robotic GMA(Gas Metal Arc) welding is employed to monitor the information about weld characteristics and process paramters as well as modification of those parameters to hold weld quality within the acceptable limits. Typical characteristics are the bead geometry composition micrrostructure appearance and process parameters which govern the quality of the final weld. The main objectives of this paper are to realize the mapping characteristicso f penetration through the learning. After learning the neural network can predict the pene-traition desired from the learning mapping characteristic. The design parameters of the neural network estimator(the number of hidden layers and the number of nodes in a layer) were chosen from an error analysis. partial-penetration single-pass bead-on-plate welds were fabricated in 12mm mild steel plates in order to verify the performance of the neural network estimator. The experimental results show that the proposed neural network estimator can predict the penetration with reasonable accuracy and gurarantee the uniform weld quality.

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로봇 GMA용접에 최적의 비드폭 예측 시스템 개발에 관한 연구 (A Study on Development of System for Prediction of the Optimal Bead Width on Robotic GMA Welding)

  • 김일수
    • 한국생산제조학회지
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    • 제7권6호
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    • pp.57-63
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    • 1998
  • An adaptive control in the robotic GMA welding is employed to monitor information about weld characteristics and process parameters as well as to modify those parameters to hold weld quality within acceptable limits. Typical characteristics are the bead geometry, composition, microstructure, appearance, and process parameters which govern the quality of the final weld. The main objectives of this thesis are to realize the mapping characteristics of bead width through learning. After learning, the neural estimation can estimate the bead width desired form the learning mapping characteristic. The design parameters of the neural network estimator(the number of hidden layers and the number of nodes in a layer) are chosen from an estimation error analysis. A series of bead of bead-on-plate GMA welding experiments was carried out in order to verify the performance of the neural network estimator. The experimental results show that the proposed neural network estimator can predict the bead width with reasonable accuracy and guarantee the uniform weld quality.

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용착 금속을 고려한 필릿 용접에서 온도 분포 예측을 위한 해석적 모델 (An Analytical Solution for Transient Temperature Distribution in Fillet Arc Welding Including the Effect of Molten Metal)

  • 정선국;조형석
    • Journal of Welding and Joining
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    • 제13권3호
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    • pp.116-124
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    • 1995
  • This paper presents an analytical solution to predict the transient temperature distribution in fillet arc welding including the effect of molten metal. The solution is obtained by solving a transient three-dimensional heat conduction equation with convection boundary conditions on the surfaces of a plate, and mapping the infinite plate onto the fillet weld geometry with energy equation. The electric heat input on the fillet weld and on the infinite plate is assumed to have a combination of two bivariate Gaussian distribution. To check the validity of the solution. FCA welding experiments were performed under various welding conditions. The actual isotherms of the weldment cross-sections at various distances from the arc start point are compared with those of simulation result.

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비축대칭 압출 공정의 근사 3차원 유한 요소 해석 (A Simplified Three-Dimensional Finite Element Analysis of the Non-axisymmetric Extrusion Process)

  • 신현우;김동원;김낙수
    • 소성∙가공
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    • 제1권1호
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    • pp.52-65
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    • 1992
  • In this study a new simplified three-dimensional numerical method and the associated computer program have been developed to simulate the non-axisymmetric extrusion processes. The two-dimensional rigid-plastic finite element method under the generalized plane-strain condition is combined with the slab method. To define the die geometry for a non-axisymmetric extrusion. area mapping technique was used. Streamlined die surface was used to minimize the total extrusion pressure. Extrusion of square, hexagonal and 'T' section from round billet have been simulated and experimented with a model material. The computed results were in good agreement with the experiments in cross-sectional grid distortion. Computational results will be valuable for designing tool geometries and corresponding processes.

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노이즈 함수 및 높이맵을 이용한 3차원 지형 메쉬의 생성 (Generation of 3D Terrain Mesh Using Noise Function and Height Map)

  • 박상근
    • 융복합기술연구소 논문집
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    • 제12권1호
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    • pp.1-5
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    • 2022
  • This paper describes an algorithm for generating a terrain using a noise function and a height map as one of the procedural terrain generation methods. The polygon mesh data structure to represent the generated terrain concisely and render it is also described. The Perlin noise function is used as the noise technique for terrain mesh, and the height data of the terrain is generated by combining the four noise waves. In addition, the terrain height information can be also obtained from actual image data taken from the satellite. The algorithm presented in this paper generates the geometry part of the polygon topography from the height data obtained, and generated a material for texture mapping with two textures, that is, a diffuse texture and a normal texture. The validity of the terrain method proposed in this paper is verified through application examples, and its possibility can be confirmed through performance verification.