注册辅助工具

R. Pito
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引用次数: 8

摘要

虽然迭代最近点算法在配准距离数据方面非常有效,但配准质量取决于采样表面的几何形状。本文提出了一种配准辅助方法,可以大大降低灾难性配准失败的可能性,提高配准质量,并可以实现不重叠的范围数据的配准。通过将辅助设备与感兴趣的物体一起放置在场景中,从距离扫描仪工作空间内的任何有利位置拍摄的距离图像都可以注册到辅助设备的模型中,从而注册到一个共同的参考框架中。通过考虑配准失败的原因,对辅助装置的表面进行了设计,以便从扫描仪工作空间的任何点对其拍摄的任何范围图像都能正确地与辅助装置的模型进行配准。通过蒙特卡罗实验验证了该辅助工具的可靠性,并通过自动地面采集系统的实例验证了其实用性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A registration aid
Although the iterative closest point algorithm is very effective in registering range data, the quality of registration depends on the geometry of the sampled surfaces. This work presents a registration aid which can greatly reduce the possibility of catastrophic registration failure, increase the quality of registration and register range data which does not overlap. By placing the aid into the scene along with the object(s) of interest, range images taken from any vantage point within the range scanner's workspace can be registered onto a model of the aid and thus into a common reference frame. By considering the causes of registration failure, the surface of the aid is designed so that any range image taken of it from any point in the scanner's workspace will properly register with a model of the aid. The reliability of the aid is demonstrated with a Monte Carlo experiment and its utility is demonstrated with examples from an automated surface acquisition system.
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