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Surface Reconstruction pattern recognition technology Based on Scattered Point Cloud Data

BIG DATA 2021年第5期9卷 390-401页

作者： Zeng, Feng JiaYing Univ Comp Sch Meizhou 514015 Peoples R China

Surface reconstruction technology based on cloud data has broad prospects in the fields of reverse engineering, cultural heritage protection, and smart city construction. This article studies the surface reconstruction pattern recognition technology based on scattered point cloud data. The candidate feature points are extracted according to the surface variation, and the precise method of point cloud is used to fit the clustering plane, and the feature points are selected from the candidate feature points. Use the area increase method to construct the initial grid of the specific three-dimensional point group data. In the construction process, the normal vector of the point group data does not need to be separated, but defines the angle of the normal vector of the adjacent triangular grids, thereby separating relatively flat areas. Using the projection parameterization method, the scattering points in the domain are projected onto the curved surface, and the parameter values of the projection points are counted as the parameter values of the scattering points. All sampling points on the common boundary have tangent vectors along the two directions of the boundary. The direction of the bisector of the angle between the two tangent vectors is calculated as the direction of the connection vector outside the boundary of the sampling point. It can be seen from the experimental data that the search radius of the normal vector and feature descriptor when calculating the feature description operator is 0.01 and 0.02 m, instead of 0.005 and 0.006 m of the bunny data. Using the local feature size to refine the point cloud data can reduce the number of point clouds, remove redundant data in the point cloud, and realize dynamic adjustment and adaptive reconstruction of nonuniform point clouds.

关键词： pattern recognition technology point cloud denoising point cloud reduction scattered point cloud data surface reconstruction

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The Function and Application of pattern recognition technology in Image Processing

The Function and Application of Pattern Recognition Technolo...

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2019 7th International Conference on Machinery,Materials and Computing technology(ICMMCT 2019)

作者： Chunman Zhu Yongxing Liu Department of Electronic Information and Control Engineering Yibin Vocational and Technical College Department of Modern manufacturing engineering Yibin Vocational and Technical College

Video surveillance is no longer the traditional image intake,but towards a more intelligent *** the basis of clustering method of Topology,pattern recognition has been *** of its geometric properties,it is difficult to build models by common mathematical ***,it is necessary to transform topology theory into algebraic elements on the basis of geometry,and pattern recognition is the key technology in computer aided *** combination of geometry and algebra is a typical representative of image pattern *** cluster analysis and topological theory belong to different disciplines,namely algebraic science and geometric science,this paper can realize the digital preprocessing of images in the analysis,and reasonably avoid the necessary links of topological theory,let BP neural network replace Topology identification work.

关键词： pattern recognition technology Image Processing Geometry Topology Function and Application

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Optimization Model of Data Center Hyper-integration Based on pattern recognition technology

Optimization Model of Data Center Hyper-integration Based on...

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2017 4th ICMIBI International Conference on Training, Education, and Management (ICMIBI-TEM 2017)

作者： Zaiyi Pu Network and Information Management Center of China West Normal University

Optimization model of data center hyper-integration based on the pattern recognition technology is discussed in this paper. The overall logical architecture of the distributed cloud data center is composed of the infrastructure layer, the virtualization layer, the service layer and the management layer. Each layer provides the interface to the upper layer for the upper layer call or the docking. This paper proposes a distributed cloud data center construction and operation plan based on virtualization, which can effectively solve the dilemma encountered by the traditional data center, realize the management and the business concentration, and adjust and allocate the data center resources dynamically, Application migration to the cloud for the resource high performance, high reliability, security and high adaptability, timeliness and other aspects of the requirements to improve the level of automation management infrastructure.

关键词： Data center pattern recognition technology Hyper-integration

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The Application of pattern recognition technology in the Diagnosis and Analysis on the Heart Disease: Current Status and Future

The Application of Pattern Recognition Technology in the Dia...

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24th Chinese Control and Decision Conference (CCDC)

作者： Jin, Feiming Liu, Jihong Hou, Weigang Northeastern Univ Sinodutch Biomed & Informat Engn Sch Shenyang 110819 Peoples R China Northeastern Univ Coll Informat Sci & Engn Shenyang 110819 Turkey

ISBN: (纸本)9781457720727

Electrocardiography (ECG) is an important tool for the doctor to analyze the basic function and pathology of the heart. Consequently, it is significant to perform the pattern recognition oriented feature extraction and waveform classification on the ECG signal. In this paper, we first present the world-wide risk of the heart disease and the motivation of introducing pattern recognition technology into the ECG data analysis. Next, we state in detail the current status of researches on the ECG pattern recognition technology as well as compare the commonly used methods of detection, analysis and classification. In the final, we discuss the prospect and the future issues on the ECG pattern recognition technology according to the advantage and disadvantage of the current methods for ECG data analysis.

关键词： Heart disease Electrocardiography (ECG) pattern recognition technology

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A Study of Urban Traffic Congestion recognition Based on pattern recognition technology

A Study of Urban Traffic Congestion Recognition Based on Pat...

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International Symposium on Information Science and Engineering

作者： Zhu Yin Wang Junli Lu Huapu Chinese Peoples Publ Secur Univ Traff Management Engn Dept Beijing Peoples R China Tsinghua Univ Inst Traff Engn Beijing Peoples R China

ISBN: (纸本)9780769534947

In this paper the traffic congestion recognithion method is studied deeply based on the pattern recognition technology which is well integrates the fuzziness and randomness of linguistic concepts in a unified way, and makes the transforms between qualitative concepts and their quantitative expressions much easier and interchangeable. Moreover, the feasibility and effectiveness of that new method which is presented in this paper are demonstrated by an example.

关键词： pattern recognition technology traffic congestion recognition urban traffic

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