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Analysis of ICP variants for the registration of partially overlapping time-of-flight range images

机译:分析ICP变型以配准部分重叠的飞行时间范围图像

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摘要

The iterative closest point (ICP) algorithm is one of the most commonly used methods for registering partially overlapping range images. Nevertheless, this algorithm was not originally designed for this task, and many variants have been proposed in an effort to improve its proficiency. The relatively new full-field amplitude-modulated time-of-flight range imaging cameras present further complications to registration in the form of measurement errors due to mixed and scattered light. This paper investigates the effectiveness of the most common ICP variants applied to range image data acquired from full-field range imaging cameras. The original ICP algorithm combined with boundary rejection performed the same as or better than the majority of variants tested. In fact, many of these variants proved to decrease the registration alignment.
机译:迭代最近点(ICP)算法是注册部分重叠范围图像的最常用方法之一。尽管如此,该算法最初并不是为完成此任务而设计的,为了提高其熟练度,已经提出了许多变体。相对较新的全视场调幅飞行时间范围成像相机,由于混合和散射光,以测量误差的形式对配准带来了进一步的复杂化。本文研究了最常见的ICP变型应用于从全视场成像相机获得的测距图像数据的有效性。原始ICP算法与边界剔除相结合,其性能与大多数测试变体相同或更好。实际上,许多这些变体被证明减少了配准比对。

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