Simultaneous Shape Registration and Active Stereo Shape Reconstruction using Modified Bundle Adjustment
Simultaneous Shape Registration and Active Stereo Shape Reconstruction using Modified Bundle Adjustment
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DOI：
10.1109/3dv.2019.00057
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发表时间：
2019-09
期刊：
影响因子：
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通讯作者：
Furukawa Ryo;Genki Nagamatsu;Hiroshi Kawasaki
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文献类型：
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作者：
Furukawa Ryo;Genki Nagamatsu;Hiroshi Kawasaki
同时注册和形状融合使用3D扫描仪已被提出进行广域和密集的3D形状重建。然而，由于用于这种系统的3D扫描仪必须是鲁棒的并且应该提供真实的反馈，因此只有少数设备可用，从而限制了该技术的应用。在这项研究中，我们提出了一种新的广域扫描算法，只需要一个现成的投影仪和摄像头。在我们的技术中，设备不一定彼此固定，并且设备的相对位置以及场景形状可以在结构光的情况下通过光束法平差（BA）来精确地估计。为了有效地执行形状配准，需要鲁棒且密集的形状重建，这目前被认为是结构光系统的开放问题。在这项研究中，我们提出了一种新的基于网络的特征检测算法以及形状融合算法的解决方案。
Simultaneous registration and shape fusion using 3D scanners have been proposed for conducting wide-area and dense 3D shape reconstruction. However, because the 3D scanners for such a system must be robust and should provide feedback in real time, only a few devices are available, thereby limiting the application of the technique. In this study, we propose a new wide-area scanning algorithm that only requires an off-the-shelf projector and a camera. In our technique, the devices are not necessarily fixed to each other and the relative positions of the devices as well as the scene shapes can be precisely estimated by bundle adjustment (BA) in case of structured light. To efficiently perform shape registration, a robust and dense shape reconstruction is required, which is currently considered to be an open problem for structured light systems. In this study, we suggest a novel network-based feature detection algorithm as well as shape fusion algorithm for the solution.