Structured light 3D reconstruction technology is currently widely used in 3D measurement. In the past few years, there have been many studies on calibration and reconstruction methods for structured light systems, but the description of implementation details in papers is often lacking. In this work, we combine monocular structured light with binocular vision and propose a new monocular structured light 3D reconstruction method. The pseudo-code of the core algorithm is given to facilitate scientific researchers to reproduce this work.
In this paper, we focus on the online 3D bin packing problem, a classical strong NP-hard problem. In the problem, each item is unknown before bin packing is performed, and the arrival of the item requires immediate bin packing, which has many applications in industrial automation. In this paper, we propose a greedy algorithm for multi-indicator fusion to solve this problem by defining a series of evaluation indicators during bin packing, determining the weights of these indicators to be fused by SVR algorithm and Quasi-Newton Methods, and finally selecting the placement with the highest score of the fused indicators to be placed. The experimental results show that this method can solve the online 3D bin packing problem and is competitive with other algorithms in terms of space utilization and the number of bins, and the running time is fully completed to meet the online bin packing requirements.
The weld seam extraction algorithm is the core of the automatic welding method for robots guided by vision, which has been widely studied. As a common type of welding model, butt weld without groove also has many weld seam extraction algorithms. However, these algorithms mainly rely on the shape of the workpiece or the seam, which results in limited applicability. To improve the adaptability of weld seam extraction algorithms, this paper focuses on the characteristics of non-groove butt joint weld and proposes a weld seam extraction algorithm based on nearest point and registration. Experimental results have shown that this method has high versatility and practical value.
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