IEEE Organizations related to Octrees

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Conferences related to Octrees

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2020 IEEE International Symposium on Antennas and Propagation and North American Radio Science Meeting

The joint meeting is intended to provide an international forum for the exchange of information on state of the art research in the area of antennas and propagation, electromagnetic engineering and radio science


2020 IEEE 16th International Workshop on Advanced Motion Control (AMC)

AMC2020 is the 16th in a series of biennial international workshops on Advanced Motion Control which aims to bring together researchers from both academia and industry and to promote omnipresent motion control technologies and applications.


2020 IEEE International Conference on Consumer Electronics (ICCE)

The International Conference on Consumer Electronics (ICCE) is soliciting technical papersfor oral and poster presentation at ICCE 2018. ICCE has a strong conference history coupledwith a tradition of attracting leading authors and delegates from around the world.Papers reporting new developments in all areas of consumer electronics are invited. Topics around the major theme will be the content ofspecial sessions and tutorials.


2020 IEEE International Conference on Image Processing (ICIP)

The International Conference on Image Processing (ICIP), sponsored by the IEEE SignalProcessing Society, is the premier forum for the presentation of technological advances andresearch results in the fields of theoretical, experimental, and applied image and videoprocessing. ICIP 2020, the 27th in the series that has been held annually since 1994, bringstogether leading engineers and scientists in image and video processing from around the world.


2020 IEEE International Conference on Systems, Man, and Cybernetics (SMC)

The 2020 IEEE International Conference on Systems, Man, and Cybernetics (SMC 2020) will be held in Metro Toronto Convention Centre (MTCC), Toronto, Ontario, Canada. SMC 2020 is the flagship conference of the IEEE Systems, Man, and Cybernetics Society. It provides an international forum for researchers and practitioners to report most recent innovations and developments, summarize state-of-the-art, and exchange ideas and advances in all aspects of systems science and engineering, human machine systems, and cybernetics. Advances in these fields have increasing importance in the creation of intelligent environments involving technologies interacting with humans to provide an enriching experience and thereby improve quality of life. Papers related to the conference theme are solicited, including theories, methodologies, and emerging applications. Contributions to theory and practice, including but not limited to the following technical areas, are invited.


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Periodicals related to Octrees

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Most published Xplore authors for Octrees

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Xplore Articles related to Octrees

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Research the Intelligent Design and Simulation System of Tujia Brocade

2017 3rd IEEE International Conference on Cybernetics (CYBCONF), 2017

Protection and inheriting of the traditional brocade crafts are the focusing problems of the current social. Computer aided design is one of the directions of inheriting the traditional brocade crafts. In this paper, we focus on the Tujia brocade, which is one of the famous Chinese traditional brocade, to research the layout- designing and appearance-simulation techniques. We propose an intelligent ...


A Method for Model Thickness Analysis in Pro/E Environment

2015 International Conference on Computer Science and Mechanical Automation (CSMA), 2015

Wall thickness has a direct impact on the appearance, performance and cost of a part, wall thickness analysis is important (sometimes essential) to examine and improve the manufacturability of a part after the design is complete. The current method of wall thickness analysis in pro/Engineering environment is to establish equally spaced cross-sections in different directions, which is inefficient and can ...


Moving Least-Squares Reconstruction of Large Models with GPUs

IEEE Transactions on Visualization and Computer Graphics, 2014

Modern laser range scanning campaigns produce extremely large point clouds, and reconstructing a triangulated surface thus requires both out-of-core techniques and significant computational power. We present a GPU-accelerated implementation of the moving least-squares (MLS) surface reconstruction technique. We believe this to be the first GPU-accelerated, out-of-core implementation of surface reconstruction that is suitable for laser range- scanned data. While several ...


Distributed terascale volume visualization using distributed shared virtual memory

2011 IEEE Symposium on Large Data Analysis and Visualization, 2011

Each cluster node is running its own pipeline for ray-casting, virtual vol- ume and memory management, and paging. Ray-casting is per- formed on a huge virtual 3D volume, which is conceptually given on a regular grid in 3D. However, this volume is virtual because the data that are sampled by the ray- caster are only created on demand (i.e., read ...


An Efficient Octree-Based MoM-PO Method for Analysis of Antennas on Large Platform

IEEE Antennas and Wireless Propagation Letters, 2015

In this letter, an efficient MoM-PO hybrid Method is proposed to calculate radiation patterns of the antennas around electrically large and complex metallic platforms. The computational intensity can be decreased from N2to NlogN by using the octree accelerating the shadow patches cutting, where N is the number of patches of platform. In this way, the Method of Moments (MoM)-Physical Optics ...


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Educational Resources on Octrees

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IEEE.tv Videos

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IEEE-USA E-Books

  • Research the Intelligent Design and Simulation System of Tujia Brocade

    Protection and inheriting of the traditional brocade crafts are the focusing problems of the current social. Computer aided design is one of the directions of inheriting the traditional brocade crafts. In this paper, we focus on the Tujia brocade, which is one of the famous Chinese traditional brocade, to research the layout- designing and appearance-simulation techniques. We propose an intelligent design and simulation model of Tujia brocade. The design combination technique based on pattern and skeleton is used to design a digital layout of Tujia brocade. We employ the Octree to quantitate the color map of designed layout and extract the main color map based on kmeans cluster. We render each region, which is segmented by main color map, with yarn structure template based on cubic convolution interpolation algorithm. Finally, we can generate out the appearance of designed layout with good fabric material. To demonstrate the applicability and validity, our method generates several Tujia brocade layouts and simulates its appearance. We also analyze the designed and simulate results compared with some traditional methods.

  • A Method for Model Thickness Analysis in Pro/E Environment

    Wall thickness has a direct impact on the appearance, performance and cost of a part, wall thickness analysis is important (sometimes essential) to examine and improve the manufacturability of a part after the design is complete. The current method of wall thickness analysis in pro/Engineering environment is to establish equally spaced cross-sections in different directions, which is inefficient and can be error prone. This paper details a method to analysis wall thickness automatically, which includes format conversion (from prt to stl), octree decomposition and ray-tracing to obtain thickness values, color rendering according to thickness values, this method provides an overall intuitive display of the model and improves the thickness analysis efficiency.

  • Moving Least-Squares Reconstruction of Large Models with GPUs

    Modern laser range scanning campaigns produce extremely large point clouds, and reconstructing a triangulated surface thus requires both out-of-core techniques and significant computational power. We present a GPU-accelerated implementation of the moving least-squares (MLS) surface reconstruction technique. We believe this to be the first GPU-accelerated, out-of-core implementation of surface reconstruction that is suitable for laser range- scanned data. While several previous out-of-core approaches use a sweep-plane approach, we subdivide the space into cubic regions that are processed independently. This independence allows the algorithm to be parallelized using multiple GPUs, either in a single machine or a cluster. It also allows data sets with billions of point samples to be processed on a standard desktop PC. We show that our implementation is an order of magnitude faster than a CPU- based implementation when using a single GPU, and scales well to 8 GPUs.

  • Distributed terascale volume visualization using distributed shared virtual memory

    Each cluster node is running its own pipeline for ray-casting, virtual vol- ume and memory management, and paging. Ray-casting is per- formed on a huge virtual 3D volume, which is conceptually given on a regular grid in 3D. However, this volume is virtual because the data that are sampled by the ray- caster are only created on demand (i.e., read from disk or reconstructed on- the-fly), as determined by the actual visibility of small cubical blocks or memory pages of 32 voxels each. In order to be able to adapt the data resolution used for ray-casting to the output screen resolution, we represent the whole virtual volume as a virtual octree multi-resolution hier- archy, which is mapped to a large shared virtual memory address space.

  • An Efficient Octree-Based MoM-PO Method for Analysis of Antennas on Large Platform

    In this letter, an efficient MoM-PO hybrid Method is proposed to calculate radiation patterns of the antennas around electrically large and complex metallic platforms. The computational intensity can be decreased from N2to NlogN by using the octree accelerating the shadow patches cutting, where N is the number of patches of platform. In this way, the Method of Moments (MoM)-Physical Optics (PO) hybrid method yields a superior performance for antenna pattern calculation on large and complex platforms. Simulation results obtained from this model are compared to FEKO MOM-PO results, which prove excellent accuracy of computations. The antenna patterns of the antenna on a ship are also calculated, showing the proposed hybrid method can finish antenna pattern predictions fast and accurately on electrically large and complex platform.

  • Hierarchical Occlusion Queries on Driving Simulation

    Hardware occlusion queries is a method by which graphic processing unit (GPU) can gives fast response to the visibility status of a geometry object in virtual environment. Increasing number of issued queries lead to stall in CPU and starvation in GPU. However, hardware occlusion queries have improved by exploiting temporal coherence (TC). TC is proven improved hardware occlusion queries based on previous research. In driving simulation as car or camera move fast, more and more objects in scene become less significant to be rendered. Implementation of TC on driving simulation need be redesigned so allow TC suitable to faster movement. Intent of this paper is to describe how automatic parameters adaptation in temporal coherence is applied to driving simulation environment. Automatic parameters adaptation manipulated when the car or camera movement become more faster to maintain interactively rendering process and maintain realisms of complex virtual environment.

  • Octree-based Finite Element Method for electromagnetic scattering problems

    Currently Finite Element Methods (FEM) fall into one of two categories: FEMs based on structured meshes, and those based on unstructured meshes. Work by Hill, Farle, et. al has explored nonconformal unstructured meshes to aid in the application of adaptive mesh refinement (AMR) and geometric multigrid methods on tetrahedral meshes. Demkowicz, Kurtz, et. al have worked with nonconformal hexahedral meshes. This work proposes an octree mesh based FEM which enjoys fast, robust meshing, as well as simplified matrix assembly. There is the potential to reap large benefits when applied to AMR and multigrid methods, since the overhead of local refinements on unstructured meshes is avoided, and projections between differing levels of mesh refinement are simplified. The stair-casing prevalent in structured meshes, while still present, is mitigated by the nonconformal nature of the octree mesh.

  • Point cloud data reduction methods of octree-based coding and neighborhood search

    Laser scanning technology makes it easy to obtain high accuracy and speed of the surface of the part model information. The amount of data generated is enormous, and therefore need to be streamlined. Based on the reverse engineering point cloud data pretreatment, analyzes the existing data streamline method, this paper puts forward a kind of insufficient based on spatial octree non-uniform grid and combining the neighborhood search algorithm. By octree record division process, thus make neighborhood search method are confined to sampling the bounding box and around where the bounding box. A large number of real data results show that: the algorithm can improve the quality of search neighboring points, and ultimately achieve the good effect of the streamlining.

  • Three-Dimensional Modeling of Trees Group with Spatial Characteristics and Its Space Subdivision Method

    Modeling of trees group is one of the key issues of building virtual forest environment. A new model of trees group with spatial characteristics is proposed. The model focusing on describing the spatial structure of tree populations and their topology relations, takes into account the overall distribution of trees group. In the process of modeling, TIN is used to interconnect roots of adjacent trees so as to form Delaunay triangulation networks. Rule-based method is used to establish single tree model with data from the sample plots. Compact octree is used to divide up the model so as to effectively simulate and analyze trees environment in three dimensions. Finally the tree model and modeling method are realized by Visual C++ and OpenGL. The modeling method is tested by measurement data.

  • Research on 3D Big Data City Model Building

    To speed up the visualization of 3D big data city building model, LOD technology optimized by analysis of the linear octree characteristics is proposed in this paper. The technology supports that the remaining node data except leaf nodes were completed in the pre-processing to generate final subdivision of linear octree structure in which each node corresponds to a separate file on the disk. We also use the dynamic view-dependent technology with multi-resolution to accelerate visualization display for big data city building. Our experimental results show that the method can improve the Three- Dimensional Visualization performance, while its details are observed for big data city model building.



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