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Analyzing the impact of the initialization for the nonnegative tensor factorization in tensor displays

机译:分析张量显示中初始化对非负张量分解的影响

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摘要

Tensor display is an option in glasses-free three-dimensional (3-D) display technology. An initial solution has to be set to decompose the light-field information to be represented by the system. We have analyzed the impact of the initial guess on the multiplicative update rules in terms of peak signal-to-noise ratio, and proposed a method based on depth map estimation from an input light field. Results from simulations were obtained and compared with previous literature. In our sample, the initial values used have a large influence on results and convergence to a local minimum. The quality of the output stabilizes after a certain number of iterations, suggesting that a limit on such numbers should be imposed. We show that the proposed methods outperform the pre-existing Ones.
机译:张量显示是无眼镜三维(3-D)显示技术中的一个选项。必须设置初始解决方案以分解要由系统表示的光场信息。我们从峰值信噪比的角度分析了初始猜测对乘法更新规则的影响,并提出了一种基于输入光场深度图估计的方法。获得了模拟结果并将其与以前的文献进行比较。在我们的样本中,使用的初始值对结果有很大影响,并且收敛到局部最小值。经过一定数量的迭代后,输出的质量趋于稳定,这表明应对此数量施加限制。我们表明,所提出的方法优于现有方法。

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