Proceedings of 1994 IEEE International Conference on MFI '94. Multisensor Fusion and Integration for Intelligent Systems最新文献_第4页

Efficient surface reconstruction from scattered points through geometric data fusion 通过几何数据融合，从分散点高效重建曲面

Proceedings of 1994 IEEE International Conference on MFI '94. Multisensor Fusion and Integration for Intelligent Systems Pub Date : 1994-10-02 DOI: 10.1109/MFI.1994.398404

M.A. Garcia

{"title":"Efficient surface reconstruction from scattered points through geometric data fusion","authors":"M.A. Garcia","doi":"10.1109/MFI.1994.398404","DOIUrl":"https://doi.org/10.1109/MFI.1994.398404","url":null,"abstract":"This paper describes a new method to reconstruct smooth surfaces from arbitrary triangulations of scattered 3D points. These points are considered to be noisy as a result of some sensory acquisition process. The reconstruction problem is transformed into one of surface approximation over irregular triangular meshes. The proposed formulation is based on weighted averages, a technique that has been widely used in homogeneous data fusion. Hence, the generated surfaces are the result of a geometric fusion process that considers topological relationships among control points. Moreover, an uncertainty factor can be associated with every point. This factor affects the final shape of the surface locally. The reconstructed surface is composed of a collection of triangular patches that join with C/sup 0/ or G/sup 1/ geometric continuity and that can be computed independently. Since those patches are parametric functionals, arbitrary topologies of any genus can be represented. The aforementioned characteristics of this technique allow its utilization as an efficient surface modelling tool in diverse disciplines, including robotics, GIS and medical imaging.<<ETX>>","PeriodicalId":133630,"journal":{"name":"Proceedings of 1994 IEEE International Conference on MFI '94. Multisensor Fusion and Integration for Intelligent Systems","volume":"26 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1994-10-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128424515","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 9

Compensation of time lag between actual and virtual spaces by multi-sensor integration 多传感器集成补偿实际空间与虚拟空间的时滞

Proceedings of 1994 IEEE International Conference on MFI '94. Multisensor Fusion and Integration for Intelligent Systems Pub Date : 1994-10-02 DOI: 10.1109/MFI.1994.398417

Satoru Exnura, SusuInu Tach

引用次数: 31

Examination of the fuzzy subsethood theorem for data fusion 数据融合中模糊子集定理的检验

Proceedings of 1994 IEEE International Conference on MFI '94. Multisensor Fusion and Integration for Intelligent Systems Pub Date : 1994-10-02 DOI: 10.1109/MFI.1994.398422

D.M. Buede

引用次数: 4

Uncertainty-management-network-based dynamic sensor model 基于不确定性管理网络的动态传感器模型

Proceedings of 1994 IEEE International Conference on MFI '94. Multisensor Fusion and Integration for Intelligent Systems Pub Date : 1994-10-02 DOI: 10.1109/MFI.1994.398449

Sangwook Park, C.s.g. Lee

引用次数: 3

Coherency of kinesthetic and visual sensation in virtual reality system 虚拟现实系统中动觉与视觉的一致性

Proceedings of 1994 IEEE International Conference on MFI '94. Multisensor Fusion and Integration for Intelligent Systems Pub Date : 1994-10-02 DOI: 10.1109/MFI.1994.398418

Y. Yanagida, S. Tachi

引用次数: 3

Adaptive masticatory jaw motion using jaw position and biting force information 使用颚位置和咬合力信息的自适应咀嚼颚运动

Proceedings of 1994 IEEE International Conference on MFI '94. Multisensor Fusion and Integration for Intelligent Systems Pub Date : 1994-10-02 DOI: 10.1109/MFI.1994.398432

H. Takanobu, T. Tanase, A. Takanishi, I. Kato

引用次数: 20

A feature-level approach to multi-sensor integration; emphasizing robotic applications 多传感器集成的特征级方法强调机器人应用

Proceedings of 1994 IEEE International Conference on MFI '94. Multisensor Fusion and Integration for Intelligent Systems Pub Date : 1994-10-02 DOI: 10.1109/MFI.1994.398415

S. Bruder, M. Farooq, M. Bayoumi

引用次数: 3

A stochastic graph-based technique for grouping of inhomogeneous image primitives 基于随机图的非均匀图像基元分组技术

Proceedings of 1994 IEEE International Conference on MFI '94. Multisensor Fusion and Integration for Intelligent Systems Pub Date : 1994-10-02 DOI: 10.1109/MFI.1994.398389

Vittorio Murino

{"title":"A stochastic graph-based technique for grouping of inhomogeneous image primitives","authors":"Vittorio Murino","doi":"10.1109/MFI.1994.398389","DOIUrl":"https://doi.org/10.1109/MFI.1994.398389","url":null,"abstract":"Two main motivations are at the basis of the current interest of computer vision researchers in grouping methods: psychophysical evidence about the presence of pre-attentive mechanisms in human vision and expected reduction in computational complexity of recognition tasks. In this paper, a new probabilistic approach to grouping is proposed which is based on the representation of descriptive primitives (DPs) of different kind as sets of random variables associated with nodes of a relational graph. Grouping is modelled as the operation of assigning integer values to one among the variable of a graph node, i.e. as a labeling process. The set of random variables is described as a Markov random field with a multiple neighbourhood system. Each neighbourhood system is based on a different geometrical relation between nodes. The energy function of the field can be considered as a computational expression for some Gestalt laws which have been suggested by several psychologists as basic perceptual criteria. Two different shape descriptive primitives (i.e., circular arcs and straight segments) are here used to show the feasibility of the approach for a specific application which consists in the crowding evaluation and characterization of a surveilled environment.<<ETX>>","PeriodicalId":133630,"journal":{"name":"Proceedings of 1994 IEEE International Conference on MFI '94. Multisensor Fusion and Integration for Intelligent Systems","volume":"214 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1994-10-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132784064","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 1

Parallel extended local feature extraction on distributed memory computer 分布式存储计算机上并行扩展局部特征提取

Proceedings of 1994 IEEE International Conference on MFI '94. Multisensor Fusion and Integration for Intelligent Systems Pub Date : 1994-10-02 DOI: 10.1109/MFI.1994.398451

J. Baek, Yu-Seon Chang, K. Teague

引用次数: 0

Dynamic reconfiguration of parallel sensor integration system by model estimation 基于模型估计的并联传感器集成系统动态重构

Proceedings of 1994 IEEE International Conference on MFI '94. Multisensor Fusion and Integration for Intelligent Systems Pub Date : 1994-10-02 DOI: 10.1109/MFI.1994.398473

T. Kawashima, T. Nagasaki, M. Toda, Y. Aoki

引用次数: 0