• Title/Summary/Keyword: octree

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Computation of Thermal Flow for Automotive Lamp by Using Geometric Octree Method (기하학적 Octree 격자생성법을 이용한 자동차 헤드램프 내부의 열유동 계산)

  • Sah Jong-Youb;Park Jong-Ryul;Kang Dong-Min
    • 한국전산유체공학회:학술대회논문집
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    • 2001.10a
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    • pp.152-156
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    • 2001
  • Three dimensional orthogonal grid generation is able to control effectively the grid spacing near the boundaries, but there are some difficulty to meshing complex geometry. The mesh complex geometry by orthogonal grid generation method must divide block of geometry It is required a careful skill, and long time. Its also difficulty to make unstructured mesh on complex geometry. Particularly, three dimensional geometry must have more time and effort. Recently, there have been growing interests in mesh generation of complex grometry, aslike an automobile headlamp, the heart. The method of easily meshing complex geometry is resarched to solve them. We suggest octree grid into one among these methods. As octrce grid is automaticaly adapted at the boundaries by determine the level operations to control the grid spacing near the boundaries are unnecessary. In this paper we showed throe dimensional mesh generation, and heat-flow analysis on the octree mesh.

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Compression of Normal Vectors using Octree Encoding (옥트리 인코딩을 이용한 법선 벡터의 압축)

  • Kim, Y.J.;Kim, J.J.
    • Korean Journal of Computational Design and Engineering
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    • v.12 no.2
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    • pp.109-117
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    • 2007
  • Three-dimensional mesh models have been widely used in various applications such as simulations, animations, and e-catalogs. In such applications the normal vectors of mesh models are used mainly for shading and take up the major portion of data size and transmission time paper over networks. Therefore a variety of techniques have been developed to compress them efficiently. In this paper, we propose the MOEC (Modified Octree Encoding Compression) algorithm, which allow multi lever compression ratios for 3D mesh models. In the algorithm, a modified octree has nodes representing their own positions and supporting a depth of the tree so that the normal vectors are compressed up to levels where the shading is visually indistinguishable. This approach provides efficient in compressing normals with multi-level ratios, without additional encoding when changing in compression ratio is required.

A Study on 3-D Object Recognition using Hierarchical Data Structure (계층적 데이터 구조를 이용한 3차원 물체인식에 관한 연구)

  • 우광방;김영일
    • Journal of the Korean Institute of Telematics and Electronics
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    • v.27 no.6
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    • pp.851-860
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    • 1990
  • This paper presents a recognition method which interprets 3-D object in terms of several silhouettes of quadtree and octree. Object representation used in object matching should be invariant with respect to locatin and orientation of the object. Generalized octree is projected on to image plane along the principal axes. Regular octree is made from orthogonal directions, but generalized octree is independent to viewing directions. Recognition process is achieved in two-stage matching. The quadtrees and octrees of unknown object with minimum dissimilarities are matched with the quadtrees and octrees of the models. So as to verify efficiency of 3-D object representation and accuracy of object recognition, experiments are performed for 14 different type of geometrical models and its results have been shown.

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Improved k-means Color Quantization based on Octree

  • Park, Hyun Jun;Kim, Kwang Baek
    • Journal of the Korea Society of Computer and Information
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    • v.20 no.12
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    • pp.9-14
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    • 2015
  • In this paper, we present an color quantization method by complementing the disadvantage of K-means color quantization that is one of the well-known color quantization. We named the proposed method "octree-means" color quantization. K-means color quantization does not use all of the clusters because it initializes the centroid of clusters with random value. The proposed method complements this disadvantage by using the octree color quantization which is fast and uses the distribution of colors in image. We compare the proposed method to six well-known color quantization methods on ten test images to evaluate the performance. The experimental results show 68.29 percent of mean square error(MSE) and processing time increased by 14.34 percent compared with K-means color quantization. Therefore, the proposed method improved the K-means color quantization and perform an effective color quantization.

Efficient OFTL (Octree Flash Translation Layer) Technique for 3-D Vertical NAND Flash Memory (3차원 수직구조 NAND 플래시 메모리를 위한 효율적인 OFTL (Octree Flash Translation Layer) 기법)

  • Kim, Seung-Wan;Kim, Hun;Youn, Hee-Yong
    • Proceedings of the Korean Society of Computer Information Conference
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    • 2014.07a
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    • pp.227-229
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    • 2014
  • 플래시 메모리는 빠른 처리 속도, 비휘발성, 저 전력, 강한 내구성 등으로 인해 최근 스마트폰, 태블릿, 노트북, 컴퓨터와 같은 여러 분야에서 많이 사용하고 있다. 최근 기존에 사용하던 NAND 플래시가 미세화 기술의 한계에 봉착함에 따라 기존 2차원 구조의 NAND플래시를 대처할 장치로 3차원 수직구조 NAND 플래시 메모리(3D Vertical NAND)가 주목받고 있다. 기존의 플래시 메모리는 데이터를 효율적으로 삽입/삭제/검색하기 위해 B-tree와 같은 색인기법을 필요로 한다. 플래시 메모리 상에서 B-tree 구현에 관한 기존 연구로서는 BFTL(B-Tree Flash Translation Layer)기법이 최초로 제안되었다. 현재 3차원 V-NAND 구조의 플래시 메모리가 시작품으로 제작되어 머지않아 양산 될 예정이다. 본 논문에서는 향후 출시될 3차원 구조의 플래시 메모리에 적합한 Octree 기반의 파일시스템을 제안한다.

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A Study of the Use of Step by Preprocessing and Dynamic Programming for the Exact Depth Map (정확한 깊이 맵을 위한 전처리 과정과 다이나믹 프로그래밍에 관한 연구)

  • Kim, Young-Seop;Song, Eung-Yeol
    • Journal of the Semiconductor & Display Technology
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    • v.9 no.3
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    • pp.65-69
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    • 2010
  • The stereoscopic vision system is the algorithm to obtain the depth of target object of stereo vision image. This paper presents an efficient disparity matching method using nagao filter, octree color quantization and dynamic programming algorithm. we describe methods for performing color quantization on full color RGB images, using an octree data structure. This method has the advantage of saving a lot of data. We propose a preprocessing stereo matching method based on Nagao-filter algorithm using color information. using the nagao filter, we could obtain effective depth map and using the octree color quantization, we could reduce the time of computation.

Octree-Based Adaptive Tetrahedral Meshing (옥트리 기반의 적응적 사면체 요소망구성)

  • Kim, Chul-Won;Park, Suk-Hoon;Choi, Min-Gyu
    • Journal of the Korea Computer Graphics Society
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    • v.17 no.2
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    • pp.45-53
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    • 2011
  • This paper proposes a volume meshing method that fills the inside of an object with tetrahedra, of which dihedral angles are good. The suggested method is fast, stable and easy to implement It can also utilize an octree structure to space-efficiently fill an object with graded tetrahedra by reducing the total number of tetrahedra. To obtain a high-quality mesh with good dihedral angles, we restrict the octree such that any pair of neighboring cells only differs by one level. To efficiently construct a restricted-octree and generate a volume mesh from the octree, we utilize a signed distance field of an object on its bounded workspace. The suggested method can be employed in FEM-based simulation of large elasto-plastic deformation and tetrahedral-mesh-based simulation of fluid flow.

Improving Performance of File-referring Octree Based on Point Reallocation of Point Cloud File (포인트 클라우드 파일의 측점 재배치를 통한 파일 참조 옥트리의 성능 향상)

  • Han, Soohee
    • Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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    • v.33 no.5
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    • pp.437-442
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    • 2015
  • Recently, the size of point cloud is increasing rapidly with the high advancement of 3D terrestrial laser scanners. The study aimed for improving a file-referring octree, introduced in the preceding study, which had been intended to generate an octree and to query points from a large point cloud, gathered by 3D terrestrial laser scanners. To the end, every leaf node of the octree was designed to store only one file-pointer of its first point. Also, the point cloud file was re-constructed to store points sequentially, which belongs to a same leaf node. An octree was generated from a point cloud, composed of about 300 million points, while time was measured during querying proximate points within a given distance with series of points. Consequently, the present method performed better than the preceding one from every aspect of generating, storing and restoring octree, so as querying points and memorizing usage. In fact, the query speed increased by 2 times, and the memory efficiency by 4 times. Therefore, this method has explicitly improved from the preceding one. It also can be concluded in that an octree can be generated, as points can be queried from a huge point cloud, of which larger than the main memory.

Visualization of Structural Shape Information based on Octree using Terrestrial Laser Scanning (3D레이저스캐닝을 이용한 옥트리기반 구조물 형상정보 가시화)

  • Cha, Gichun;Lee, Donghwan;Park, Seunghee
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.17 no.8
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    • pp.8-16
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    • 2016
  • This study presents the visualization of shape information based on Octree using 3D laser scanning. The process of visualization was established to construct the Octree structure from the 3D scan data. The scan data was converted to a 2D surface through the mesh technique and the surface was then converted to a 3D object through the Raster/Vector transformation. The 3D object was transmitted to the Octree Root Node and The shape information was constructed by the recursive partitioning of the Octree Root Node. The test-bed was selected as the steel bridge structure in Sungkyunkwan University. The shape information based on Octree was condensed into 89.3%. In addition, the Octree compressibility was confirmed to compare the shape information of the office building, a computer science campus in Germany and a New College in USA. The basis is created by the visualization of shape information for double-deck tunnel and it will be expected to improve the efficiency of structural health monitoring and maintenance.