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首页> 外文期刊>Mechatronics, IEEE/ASME Transactions on >Coupled Multiview Vision and Physics-Based Synthetic Perception for 4-D Displacement Field Reconstruction
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Coupled Multiview Vision and Physics-Based Synthetic Perception for 4-D Displacement Field Reconstruction

机译：耦合多视角视觉和基于物理的4D位移场重建综合感知。

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摘要

This paper presents a novel method that takes advantage of real-world multiview vision measurements to identify parameters needed in physics-based models for creating synthetic perception of a 4-D displacement field. To distinguish the 4-D reconstruction from traditional graphic reconstructions in 3-D space, “time” plays the fourth dimension to provide an essential basis for kinematic or dynamic analyses based on physical fields. The coupled real-vision and synthetic-perception method is illustrated in the context of a compliant multibody mechatronic system where the displacement field of the deformable and rigid bodies are reconstructed from a multicamera system. The coupled method has been experimentally validated on a test case emulating the compliant system negotiating a right-angle corner in tight 3-D space; perception results of physics-based models closely agree with graphical details reconstructed from vision images. The synthetic perception results dynamically unveil hidden details, which are otherwise obscured in vision images in a virtual environment, demonstrating the effectiveness of the coupled method in overcoming problems commonly encountered in either vision or physics-based modeling.
机译：本文提出了一种新颖的方法，该方法利用了现实世界中的多视图视觉测量来识别基于物理学的模型中所需的参数，以创建4D位移场的综合感知。为了区分4D重建与3D空间中的传统图形重建，“时间”扮演着第四维度，为基于物理场的运动学或动态分析提供了必要的基础。在顺应性多体机电一体化系统的上下文中说明了耦合的实时视觉和合成感知方法，其中从多摄像机系统重建了可变形体和刚体的位移场。该耦合方法已经在一个测试用例上进行了实验验证，该用例模拟了在狭窄的3D空间中协商直角拐角的顺应系统；基于物理学的模型的感知结果与从视觉图像重建的图形细节非常吻合。合成感知结果动态地揭示了隐藏的细节，而这些隐藏的细节在虚拟环境中的视觉图像中会被遮盖，从而证明了耦合方法在克服视觉或基于物理的建模中通常遇到的问题方面的有效性。

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