使用多个RGB-Depth传感器进行快速平滑的3D重建

D. Alexiadis, D. Zarpalas, P. Daras
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引用次数: 16

摘要

本文研究了前景运动物体的实时、全三维重建问题,这是远程沉浸应用的一个重要任务。更具体地说,所提出的重建方法接收来自多个消费者RGB-Depth相机的输入。初步介绍了一种快速有效的传感器标定方法。更重要的是,提出了一种有效的方法来平滑融合捕获的原始点集,然后采用体积法来产生水密网格和流形网格。考虑到实现细节,所提出的方法可以在高帧率下运行。实验结果从重构质量和重构率两方面验证了所提方法的有效性。
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Fast and smooth 3D reconstruction using multiple RGB-Depth sensors
In this paper, the problem of real-time, full 3D reconstruction of foreground moving objects, an important task for Tele-Immersion applications, is addressed. More specifically, the proposed reconstruction method receives input from multiple consumer RGB-Depth cameras. A fast and efficient method to calibrate the sensors in initially described. More importantly, an efficient method to smoothly fuse the captured raw point sets is then presented, followed by a volumetric method to produce watertight and manifold meshes. Given the implementation details, the proposed method can operate at high frame rates. The experimental results, with respect to reconstruction quality and rates, verify the effectiveness of the proposed methodology.
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