Selective elasticity data acquisition on 3D deformable objects for virtualized reality applications

机译：用于虚拟现实应用的3D变形对象的选择性弹性数据采集

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This paper proposes the use of self-organizing architectures, particularly the growing neural gas, for the purpose of automatically guiding elasticity data acquisition based on a sparse vision and elasticity point-cloud of a 3D object. The proposed solution allows for the identification of regions where changes in the elastic behavior of the object occur. Additional data can then be collected in these areas in order to better characterize the elastic characteristics of a certain object. Experimental results for different non-homogeneous objects are presented in order to validate the proposed solution.

机译：本文提出使用自组织架构，尤其是不断增长的神经气体，以基于3D对象的稀疏视觉和弹性点云自动引导弹性数据采集的目的。所提出的解决方案允许识别物体的弹性行为发生变化的区域。然后可以在这些区域中收集其他数据，以便更好地表征某个物体的弹性特征。提出了针对不同非均匀物体的实验结果，以验证所提出的解决方案。

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来源
《Computational Intelligence in Virtual Environments, 2009. CIVE '09》|2009年|14-19|共6页
会议地点 Nashville TN(US);Nashville TN(US)
作者
Cretu A.-M.; Payeur P.; Petriu E.M.;
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Sch. of Inf. Technol. Eng., Univ. of Ottawa, Ottawa, ON;

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关键词
data acquisition; data visualisation; self-organising feature maps; virtual reality; 3D deformable objects; elasticity point-cloud; nonhomogeneous objects; selective elasticity data acquisition; self-organizing architectures; sparse vision; virtualized reality;

机译：数据采集;数据可视化;自组织特征图;虚拟现实; 3D变形对象;弹性点云;非均匀对象;选择性弹性数据采集;自组织体系结构;稀疏视觉;虚拟现实;

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专利

1. DEVELOPMENT OF VIRTUAL REALITY APPLICATION FOR CULTURAL HERITAGE VISUALIZATION FROM MULTI-SOURCE 3D DATA [J] . Choromański K., ?obodecki J., Pucha?a K., International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences . 2019,第2期

机译：基于多源3D数据的文化遗产可视化虚拟现实应用程序的开发
2. 3D CAD data extraction and conversion for application of augmented/virtual reality to the construction of ships and offshore structures [J] . Han Young-Soo, Lee Jaejoon, Lee Jungmin, International Journal of Computer Integrated Manufacturing . 2019,第7a9期

机译：3D CAD数据提取与转换，以应用增强/虚拟现实到船舶建设和海上结构
3. Using surface variability characteristics for segmentation of deformable 3D objects with application to piecewise statistical deformable model [J] . Peng Du, Horace H.S. Ip, Bei Hua, The Visual Computer . 2012,第5期

机译：使用表面可变性特征对可变形3D对象进行分割并应用于分段统计可变形模型
4. Selective Elasticity Data Acquisition on 3D Deformable Objects for Virtualized Reality Applications [C] . Ana-Maria Cretu, Pierre Payeur, Emil M. Petriu IEEE Workshop on Computational Intelligence in Virtual Environments . 2009

机译：虚拟化现实应用的3D可变形对象上的选择性弹性数据采集
5. Experimental data acquisition and modeling of three-dimensional deformable objects using neural networks. [D] . Cretu, Ana-Maria. 2009

机译：使用神经网络对三维可变形物体进行实验数据采集和建模。
6. Acquisition and Neural Network Prediction of 3D Deformable Object Shape Using a Kinect and a Force-Torque Sensor [O] . Bilal Tawbe, Ana-Maria Cretu 2017

机译：使用Kinect和力扭矩传感器的3D可变形物体形状的获取和神经网络预测
7. Simulation of soft deformable objects for virtual reality medical applications [O] . Choi KS 2007

机译：用于虚拟现实医疗应用的软变形对象的仿真

Selective elasticity data acquisition on 3D deformable objects for virtualized reality applications

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