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2013 3rd international Conference on Advanced Measurement and Test, AMT 2013

作者： Chen, Jin Mu Wang, Xun Feng Lu, Xian Feng Zhang, Chun Lin Wang, Wei Wang, Ren de Shen, Xiao Jun Jiading Power Supply Company Shanghai Municipal Electric Power Company Qinghe Road 180 Jiading Shanghai City 201800 China Department of Electrical Engineering Tongji University Siping Road 1239 Shanghai City 200092 China

ISBN: (纸本)9783037857168

The paper briefly reviews the operational principles and commercialized conditions of airborne three-dimensional (3d) Lidar and terrestrial 3d Lidar. And then the representative functions of 3d Lidar that are developed for the operation and maintenance of overhead transmission lines (OTL) are described in detail. Besides, the problems associated with the process of applying 3d Lidar to OTL are analyzed. It is pointed out that it is necessary to make improvement to several aspects, including new functions development, standardization of application approaches and the simplification of data processing. © (2013) Trans Tech Publications, Switzerland.

关键词： Optical radar

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Framework for Simulation Models and Algorithms in ISAC Networks 3

Framework for Simulation Models and Algorithms in ISAC Netwo...

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IEEE 3rd international symposium on Joint Communications and Sensing (JC and S)

作者： Smeenk, Carsten Schneider, Christian Thomae, Reiner S. Fraunhofer Inst Integrated Circuits Wolfsmantel 33 D-91058 Erlangen Germany TU Ilmenau Inst Informat Technol Helmholtzpl 2 D-98693 Ilmenau Germany

ISBN: (纸本)9798350345681

In Integrated Sensing and Communications (ISAC), radar and communications functionalities share the same radio channel and radio resources. This sharing allows the deployment of both functionalities at a low cost without additional frequency bands and infrastructure. Because radar and communications have different radio resource requirements, new radio access and radio resource management (RRM) methods are required in a shared system. To develop and evaluate new ISAC methods, this paper presents a modular simulation framework for the system level and link level of ISAC networks. The main components of the framework are the data storage, the simulators, and the algorithms. This paper presents the framework's architecture, the integrated simulation models for channel and signal simulation, and the integrated algorithms for multiple radar target localization and data transmission.

关键词： ISAC Simulation Signal processing

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Integration of a time-of-flight camera into a mixed reality system for handling dynamic scenes, moving viewpoints and occlusions in real-time 4

Integration of a time-of-flight camera into a mixed reality ...

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4th international symposium on 3d data processing, visualization and transmission, 3dPVT 2008

作者： Bartczak, Bogumil Schiller, Ingo Beder, Christian Koch, Reinhard Computer Science Department Christian-Albrechts-University Kiel Hermann-Rodewald-Str. 3 Kiel24118 Germany

We present a novel approach to mixed reality applications. The key characteristics of the presented system are the use of a automatically generated static environment model and a time-of-flight camera device. The combination of both allows the correct handling of mutual occlusion between real and virtual content on the fly, which is not possible with the currently applied approaches. Typically expensive studio setups with complex camera tracking installations and multi-camera approaches in combination with chroma-keying facilities are used. Our system is rather inexpensive, compact, mobile, flexible and provides convenient calibration procedures. The use of a background model not only eliminates the need for chroma-keying in mixed reality production, it moreover supports planing and alignment of virtual content. Based on depth information the system is generating appropriate depth maps in realtime, making the approach suitable for 3d-TV productions. The presented paper discusses all key elements of mixedreality applications based on our approach. This includes camera pose tracking, correct real-time handling between interacting virtual and real content and the fast environment model building. © 2008 Georgia Institute of Technology.

关键词： Cameras

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Study on Remote Monitoring visualization System of Roof Support

Study on Remote Monitoring Visualization System of Roof Supp...

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3rd international Conference on digital Manufacturing and Automation (ICdMA 2012)

作者： Zhang, Wenlei Zheng, Xiaowen Chen, Baofeng Peng, Yang China Univ Min & Technol Beijing Sch Mech Elect & Informat Engn Beijing 100083 Peoples R China

ISBN: (纸本)9783037854624

data, curves or 2d graphics are displayed in the traditional remote monitoring system of roof support, without real-time display of working status of roof support in 3d graphics. In order to solve this problem, VB6.0 programming language and EON Studio software were combined. Communication protocol between VB6.0 and EON Studio and the way of external control on EONX were analyzed. data acquisition system with AdAM-6017 data Acquisition Module was designed. The remote monitoring visualization system of roof support driven by parameters of displacement and attitude was developed by means of the Ethernet transmission. The system lays a favorable foundation for remote visualization of working status of mining machinery.

关键词： roof support EON Studio data acquisition real-time visualization

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dense optical Flow Computation for 2d and 3d images via multigrid on a parallel machine

Dense optical Flow Computation for 2D and 3D images via mult...

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3rd international symposium on Computational Intellegence and Intelligent Informatics

作者： Kalmoun, El Mostafa Cadi Ayyad Univ ENSA Marrakech 40000 Morocco

ISBN: (纸本)9781424411573

Optical flow computation is known to be a fundamental step in many applications in image processing, pattern recognition, data compression, and biomedical technology. The goal is to compute an approximation to the projection of the 3d motion field onto the imaging surface. I consider in this talk the problem of real-time computation of dense optical flow for 2d and 3d images by the classical Horn-Schunck model. The basic assumption of this model is that the intensity variations are weak and only due to a movement in the image plan. This constant brightness assumption leads to an ill-posed problem that can only be solved by imposing an additional constraint requiring the flow field to be smooth by means of a standard regularization approach. The Horn-Schuck model is traditionally solved via a coupled point wise relaxation. The performance is generally poor when the image sequence data are strongly textured. I will review and discuss the multigrid components for a fast and robust computation. The parallel implementation of the proposed scheme using domain partitioning shows that the algorithm scales well up to 32 processors on a cluster of AMd Opteron CPUs which consists of four-way nodes connected by an Infiniband network. I will conclude by presenting some experimental results showing the good performance of the proposed algorithm on some classical 2d test images and also for computing 3d motion from cardiac C-arm CT images. © 2007 IEEE.

关键词： Optical flows

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3d Fully Convolutional Network Incorporating Savitzky-Golay Filtering for Prostate Segmentation 2019

3D Fully Convolutional Network Incorporating Savitzky-Golay ...

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3rd international symposium on Image Computing and digital Medicine (ISICdM)

作者： Zhong, Pinyuan Wu, Jiong Yuan, Zhe Zhang, Yue Tang, Xiaoying Southern Univ Sci & Technol Dept Elect & Elect Engn Shenzhen Peoples R China Sun Yat Sen Univ Sch Elect & Informat Technol Shenzhen Peoples R China

ISBN: (纸本)9781450372626

In this paper, we proposed a 3d fully convolutional network (FCN) incorporating Savitzky-Golay (SG) filtering for prostate segmentation using magnetic resonance images (MRIs). deep learning methods have achieved promising results in the field of segmentation, especially in semantic segmentation. However, it is not fully applicable to 3d medical images. To better extract the spatial information encoded in the 3d volumetric data, we designed a 3d FCN with long skip connection and the Parametric Rectified Linear Unit (PReLU) being the activation function. To further polish the deep learning based segmentation results, we employed SG filtering as a post-processing step. The SG filter was applied for smoothing and denoising, wherein second-order partial derivatives were taken to extract the edge information and achieve hole filling. In comparison with the 3d FCN without SG filtering, the post-processed results were more smooth, accurate and robust. The proposed method performed superiorly for prostate segmentation over several other state-of-the-art methods.

关键词： Prostate segmentation 3d fully convolutional network long skip connection Savitzky-Golay filtering

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Efficient FPGA Implementation of K-Nearest-Neighbor Search Algorithm for 3d LIdAR Localization and Mapping in Smart Vehicles

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IEEE TRANSACTIONS ON CIRCUITS ANd SYSTEMS II-EXPRESS BRIEFS 2020年第9期67卷 1644-1648页

作者： Sun, Hao Liu, Xinzhe deng, Qi Jiang, Weixiong Luo, Shaobo Ha, Yajun ShanghaiTech Univ Sch Informat Sci & Technol Shanghai 201210 Peoples R China Chinese Acad Sci Shanghai Inst Microsyst & Informat Technol Shanghai 200050 Peoples R China Univ Chinese Acad Sci Sch Elect Elect & Commun Engn Beijing 100049 Peoples R China Univ Paris Est F-93162 Paris France

K-Nearest-Neighbor search (KNN) has been extensively used in the localization and mapping based on 3d laser point clouds in smart vehicles. Considering the real-time requirement of localization and stringent battery constraint in smart vehicles, it is a great challenge to develop highly energy-efficient KNN implementations. Unfortunately, previous KNN implementations either cannot efficiently build search data structures or cannot search efficiently in massive and unevenly distributed point clouds. To solve the issue, we propose a new framework to optimize the implementation of KNN on FPGAs. First, we propose a novel data structure with a spatial subdivision method, which can be built efficiently even for massive point clouds. Second, based on our data structure, we propose a KNN search algorithm which is able to search in unevenly distributed point clouds efficiently. We have implemented the new framework on both FPGA and GPU. Energy efficiency results show that our proposed method is on average 2.1 times and 6.2 times higher than the state-of-the-art implementations of KNN on FPGA and GPU platform, respectively.

关键词： Three-dimensional displays Field programmable gate arrays data structures Laser radar Buildings Graphics processing units Indexes K-nearest-neighbor search FPGA 3d LIdAR localization and mapping smart vehicles KNN

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The application of watershed segment method in the characterization of 3d-Motif

The application of watershed segment method in the character...

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3rd international symposium on Precision Mechanical Measurements

作者： Wang Shenghuai Xie Tiebang Huazhong Univ Sci & Technol Dept Instrumentat Sch Mech Sci & Engn Wuhan 430074 Hubei Peoples R China

ISBN: (纸本)0819463515

Surface topography characterizing and assessing method in 3d is a research hot in surface metrology field. The 3d-Motif characterization method presented by *** is an extension of 2d-Motif method. This 3d method is not practicable for the 3d grid sample data when the sample spacing is not small enough. For the limit of this characterization method, this article characterizes the 3d surface topography of 3d engineering surface with electron microscope image. The electron microscope images of fine processing workpiece surface topography with two kinds of machining methods are sampled. These images are gray images and denote the height of every point of the workpiece surface. To avoid the sample spacing limit of 3d surface topography with grid sample data, the watershed segment method is introduced to dispose the 3d surface topography images and used to segment those electron microscope images. Watershed segment method is a new image segment method, which is based on the topology theory of mathematic morphology. The basic idea of this method is to take the image as the topology relief of geodesy;the gray level of every pixel in the image denotes the elevation of the correlative point. Last, according to the parameters of 3d-Motif, this article characterizes the 3d surface topography of workpiece surface with two kinds of processing methods. The corresponding disposed images and final results are presented in this article and to provide a criterion for assessing the surface topography with different machining methods.

关键词： profile analysis surface topography 3d-Motif characterization method grid sample gray image pixel value watershed segment parameters characterizing Motif characterizing

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Shape-constrained repulsive snake method to segment and track neurons in 3d microscopy images

Shape-constrained repulsive snake method to segment and trac...

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2006 3rd IEEE international symposium on Biomedical Imaging: From Nano to Macro

作者： Cai, Hongmin Xu, Xiaoyin Lu, Ju Lichtman, Jeff Yung, S.P. Wong, Stephen T. C. University of Hong Kong Department of Mathematics Hong Kong Hong Kong Center for Bioinformatics Harvard Center for Neurodegeneration and Repair Harvard Medical School Boston MA United States Functional and Molecular Imaging Center Department of Radiology Brigham and Women's Hospital Boston MA United States Harvard University Department of Molecular and Cellular Biology Cambridge MA United States

ISBN: (纸本)0780395778

To study the structure and branch pattern of neurons, it is important to segment and track neurons at first. We develop a snake model based on repulsive force to segment neurons in 3d microscopy image stacks. To overcome the difficulty that the boundary between two adjacent neurons is weak, we introduce a shape constraint on the snake deformation and use repulsive force to keep snakes of adjacent objects from merging into one. After obtaining the contours on the first image slice, we project them to the next slice as initialization for snake deformation and repeat the process for all the slices in a 3d image stacks. Individual neuron is tracked by connecting the corresponding snake through all slices. Results obtained from processing real data show that the method can successfully segment two or more neurons that are close to each other in 3d. © 2006 IEEE.

关键词： Neurology

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3rd IEEE international Conference on distributed Computing and Electrical Circuits and Electronics, ICdCECE 2024

3rd IEEE International Conference on Distributed Computing a...

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3rd IEEE international Conference on distributed Computing and Electrical Circuits and Electronics, ICdCECE 2024

ISBN: (纸本)9798350318609

The proceedings contain 299 papers. The topics discussed include: time series modelling approach for predictive analytics;research on the recognition of accounting information distortion by random forest algorithm;reconstruction and update of 3d model of mechanical products based on 3d point cloud data;prediction of soil organic carbon content using machine learning based fuzzy C-means clustering;fault detection and classification in power transmission lines using discrete wavelet transform-based swish recurrent neural network;immersive dramatic space 3d layout using panoramic image reconstruction algorithm;multi-objective optimization of noise in a high-speed railway by a hybrid algorithm;new energy vehicle customer mining model based on machine learning algorithm;and robotization of agriculture using image processing techniques.

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