论文标题

进化图像过渡和绘画使用随机步行

Evolutionary Image Transition and Painting Using Random Walks

论文作者

Neumann, Aneta, Alexander, Bradley, Neumann, Frank

论文摘要

我们提出了一项研究,展示了如何将随机行走算法用于进化图像转变。我们根据统一和偏见的随机步行设计不同的突变算子,并研究其与基线突变算子的组合如何在视觉效果和艺术特征方面导致有趣的图像过渡过程。使用基于特征的分析,我们研究了相对于不同特征的进化图像过渡行为,并评估图像过渡过程中构建的图像。之后,我们研究了如何将偏见的随机步行方法的修改用于进化图像绘画。我们介绍了一种进化的图像绘画方法,其潜在的偏见随机步行可以通过影响随机步行的偏见的参数来控制,从而创造了不同的艺术绘画效果。

We present a study demonstrating how random walk algorithms can be used for evolutionary image transition. We design different mutation operators based on uniform and biased random walks and study how their combination with a baseline mutation operator can lead to interesting image transition processes in terms of visual effects and artistic features. Using feature-based analysis we investigate the evolutionary image transition behaviour with respect to different features and evaluate the images constructed during the image transition process. Afterwards, we investigate how modifications of our biased random walk approaches can be used for evolutionary image painting. We introduce an evolutionary image painting approach whose underlying biased random walk can be controlled by a parameter influencing the bias of the random walk and thereby creating different artistic painting effects.

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