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Real-Time 3D Reconstruction of Wood Logs in a Production Line

机译:生产线中原木的实时3D重建

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摘要

The wood log is an important material in industry. These wood logs need to be cut for use. In wood cut production line, the wood information is necessary. Currently, laser is widely used to obtain the wood logs information for cutting. However, laser is usually very expensive. In this paper, we try to use camera to replace laser for reconstructing 3D information of wood logs and recent patents associated with it. For this purpose, we propose a vision system, which can provide the necessary information to the cutter machine. The obtained 3D information can be used to create aesthetically pleasant wooden patterns for accurately cutting the wood. Matching is the key technique for 3D reconstruction in our vision system. In this paper, we use area-based matching approach which has the result of dense disparity map and saves running time. Our vision system uses two cameras to collect original image of the wood logs. These images are preprocessed for matching with SAD (Sum of Absolute Differences) similarity operator. Several constraints are also proposed to obtain disparity map for 3D reconstruction. Finally, the experiment results indicate that the proposed approach can offer accurate 3D measurement to automatically cut the wood.
机译:木材原木是工业上的重要材料。这些原木需要切割才能使用。在木材切割生产线中,木材信息是必需的。当前,激光被广泛用于获取用于切割的原木信息。但是,激光通常非常昂贵。在本文中,我们尝试使用相机代替激光来重建原木的3D信息以及与之相关的最新专利。为此,我们提出了一种视觉系统,可以为裁纸机提供必要的信息。所获得的3D信息可用于创建美学上令人愉悦的木制图案,以精确地切割木材。匹配是我们视觉系统中3D重建的关键技术。在本文中,我们使用基于区域的匹配方法,该方法具有密集的视差图并节省了运行时间。我们的视觉系统使用两个摄像头来收集原木的原始图像。对这些图像进行预处理,以与SAD(绝对差之和)相似度运算符进行匹配。还提出了一些约束条件来获得用于3D重建的视差图。最后,实验结果表明,所提出的方法可以提供准确的3D测量以自动切割木材。

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