论文标题
视觉手性
Visual Chirality
论文作者
论文摘要
我们如何判断图像是否已镜像？尽管我们非常了解镜像反射的几何形状，但尽管广泛用于计算机视觉中的数据增强，但它如何影响图像的分布却少了。在本文中，我们研究了如何通过反射更改视觉数据的统计数据。我们将这些变化称为“视觉手性”，在几何性手性的概念之后 - 与镜像不同的对象的概念。我们对视觉性手性的分析揭示了令人惊讶的结果，包括散布在相机中图像处理的低级手性信号，以及在人和面部图像中发现视觉性手性的能力。我们的工作对数据的增强，自学学习和图像取证有影响。
How can we tell whether an image has been mirrored? While we understand the geometry of mirror reflections very well, less has been said about how it affects distributions of imagery at scale, despite widespread use for data augmentation in computer vision. In this paper, we investigate how the statistics of visual data are changed by reflection. We refer to these changes as "visual chirality", after the concept of geometric chirality - the notion of objects that are distinct from their mirror image. Our analysis of visual chirality reveals surprising results, including low-level chiral signals pervading imagery stemming from image processing in cameras, to the ability to discover visual chirality in images of people and faces. Our work has implications for data augmentation, self-supervised learning, and image forensics.
