论文标题
RGB点模式投影和射线相交的主动立体视觉三维重建
Active stereo vision three-dimensional reconstruction by RGB dot pattern projection and ray intersection
论文作者
论文摘要
主动立体声视觉对于无明显纹理的对象重建对象很重要。但是，从两个摄像头视图中自动，稳健地提取和匹配的图案仍然非常具有挑战性。在本文中，我们提出了一种新的模式提取方法和一种基于新型结构光模式的新的立体声视觉匹配方法。我们没有使用广泛使用的2D差异来计算对象的深度，而是使用射线相交直接计算3D形状。实验结果表明，所提出的方法可以比包括广泛使用的基于基于差异的主动立体视觉方法，飞行方法的时间和结构化光方法的最先进方法更强大地重建对象的3D形状。此外，实验结果还表明，所提出的方法可以牢固地重建动态形状的3D运动。
Active stereo vision is important in reconstructing objects without obvious textures. However, it is still very challenging to extract and match the projected patterns from two camera views automatically and robustly. In this paper, we propose a new pattern extraction method and a new stereo vision matching method based on our novel structured light pattern. Instead of using the widely used 2D disparity to calculate the depths of the objects, we use the ray intersection to compute the 3D shapes directly. Experimental results showed that the proposed approach could reconstruct the 3D shape of the object significantly more robustly than state of the art methods that include the widely used disparity based active stereo vision method, the time of flight method and the structured light method. In addition, experimental results also showed that the proposed approach could reconstruct the 3D motions of the dynamic shapes robustly.
