Pareto optimal camera placement for automated visual inspection
Pareto optimal camera placement for automated visual inspection
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DOI：
10.1109/iros.2005.1544990
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发表时间：
2005-12
期刊：
影响因子：
--
通讯作者：
Enrique Dunn;Gustavo Olague
中科院分区：
文献类型：
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作者：
Enrique Dunn;Gustavo Olague
在这项工作中，在多目标框架下研究了自动视觉检查的相机放置问题。重建精度和运营成本作为单独的优化标准纳入我们的方法中。我们的方法基于所考虑的目标之间存在冲突的最初假设。因此，预期结果是帕累托最优折衷解的形式。为了解决我们的优化问题，实施了基于进化的技术。实验结果证实了所考虑的目标之间的冲突，并为高精度 3D 重建系统的解决方案质量和流程效率之间的关系提供了重要见解。
In this work the problem of camera placement for automated visual inspection is studied under a multi-objective framework. Reconstruction accuracy and operational costs are incorporated into our methodology as separate criteria to optimize. Our approach is based on the initial assumption of conflict among the considered objectives. Hence, the expected results are in the form of Pareto optimal compromise solutions. In order to solve our optimization problem an evolutionary based technique is implemented. Experimental results confirm the conflict among the considered objectives and offer important insights into the relationships between solution quality and process efficiency for high-accurate 3D reconstruction systems.