Metamer mismatch volume calculation method based on high-dimensional spherical sampling

Q4 Social Sciences Meta: Avaliacao Pub Date : 2023-08-11 DOI:10.1117/12.2687942
Kuan Xu, Long Ma, Peng Li
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引用次数: 0

Abstract

The metamer mismatch volume has important applications in color correction, camera design, and light source design. The method based on spherical sampling to calculate the metamer mismatch volume has a long computation time, a large number of duplicated boundary points, too few effective vertices, and the dimension of its metamer set will appear lower than the theoretical dimension. In this paper, we propose a high-dimensional spherical sampling method that samples the metamer set directly, and find all boundary points by selecting direction vectors and polarizing all directions. The experimental results show that our method improves the above problems, the computational speed is faster, the computational results are close, the repetition rate of boundary points is greatly reduced, and the actual dimensionality of the corresponding metamer set is consistent with the theoretical dimensionality.
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基于高维球面采样的Metamer失配体积计算方法
超材料失配体积在色彩校正、相机设计和光源设计中有着重要的应用。基于球形采样计算超模型失配体积的方法计算时间长,重复边界点数量多,有效顶点过少,其超模型集的维数会低于理论维数。在本文中,我们提出了一种高维球面采样方法,该方法直接对超模型集进行采样,并通过选择方向向量和极化所有方向来找到所有边界点。实验结果表明,我们的方法改进了上述问题,计算速度更快,计算结果接近,边界点的重复率大大降低,相应元模型集的实际维数与理论维数一致。
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来源期刊
Meta: Avaliacao
Meta: Avaliacao Social Sciences-Education
CiteScore
0.40
自引率
0.00%
发文量
13
审稿时长
10 weeks
期刊最新文献
Camera spectral sensitivity estimation based on spectrally tunable LED illumination Metamer mismatch volume calculation method based on high-dimensional spherical sampling Machine vision-based portable track inspection system Optimization of RGB image spectral reconstruction based on radial basis function networks Study on spectral adaptive transformation based on chromatic aberration
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