Efficient object location determination and error analysis based on barycentric coordinates.

4区 计算机科学 Q1 Arts and Humanities Visual Computing for Industry, Biomedicine, and Art Pub Date : 2020-07-31 DOI:10.1186/s42492-020-00052-y
Andrea Bodonyi, Roland Kunkli
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引用次数: 4

Abstract

In this paper, we propose an efficient computational method for converting local coordinates to world coordinates using specially structured coordinate data. The problem in question is the computation of world coordinates of an object throughout a motion, assuming that we only know the changing coordinates of some fixed surrounding reference points in the local coordinate system of the object. The proposed method is based on barycentric coordinates; by taking the aforementioned static positions as the vertices of a polyhedron, we can specify the coordinates of the object in each step with the help of barycentric coordinates. This approach can significantly help us to achieve more accurate results than by using other possible methods. In the paper, we describe the problem and barycentric coordinate-based solution in detail. We then compare the barycentric method with a technique based on transformation matrices, which we also tested for solving our problem. We also present various diagrams that demonstrate the efficiency of our proposed approach in terms of precision and performance.

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基于质心坐标的高效目标定位与误差分析。
本文提出了一种利用特殊结构的坐标数据将局部坐标转换为世界坐标的有效计算方法。这个问题是一个物体在整个运动过程中的世界坐标的计算,假设我们只知道物体局部坐标系中一些固定的周围参考点的坐标变化。该方法基于重心坐标;通过将上述静态位置作为多面体的顶点,我们可以借助质心坐标在每一步中指定对象的坐标。这种方法可以显著地帮助我们获得比使用其他可能的方法更准确的结果。本文详细描述了这一问题,并给出了基于质心坐标的解决方案。然后,我们将重心方法与基于变换矩阵的技术进行比较,我们也测试了这种方法来解决我们的问题。我们还提供了各种图表来证明我们提出的方法在精度和性能方面的效率。
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来源期刊
Visual Computing for Industry, Biomedicine, and Art
Visual Computing for Industry, Biomedicine, and Art Arts and Humanities-Visual Arts and Performing Arts
CiteScore
5.60
自引率
0.00%
发文量
28
审稿时长
5 weeks
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