Moan Steven Le, Pedersen Marius
Department of Mechanical and Electrical Engineering, Massey University, 4410 Palmerston North, New Zealand.
Department of Computer Science, Norwegian University of Science and Technology, 2815 Gjøvik, Norway.
Vision (Basel). 2019 Nov 10;3(4):61. doi: 10.3390/vision3040061.
Change blindness is a striking shortcoming of our visual system which is exploited in the popular `Spot the difference' game, as it makes us unable to notice large visual changes happening right before our eyes. Change blindness illustrates the fact that we see much less than we think we do. In this paper, we introduce a fully automated model to predict colour change blindness in cartoon images based on image complexity, change magnitude and observer experience. Using linear regression with only three parameters, the predictions of the proposed model correlate significantly with measured detection times. We also demonstrate the efficacy of the model to classify stimuli in terms of difficulty.
变化盲视是我们视觉系统的一个显著缺陷，这一缺陷在流行的“找不同”游戏中被利用，因为它使我们无法注意到就在眼前发生的巨大视觉变化。变化盲视说明了一个事实，即我们实际看到的比我们认为自己看到的要少得多。在本文中，我们引入了一个全自动模型，该模型基于图像复杂性、变化幅度和观察者经验来预测卡通图像中的颜色变化盲视。通过仅使用三个参数的线性回归，所提出模型的预测与测量的检测时间显著相关。我们还证明了该模型在根据难度对刺激进行分类方面的有效性。
