The perception of surfaces and materials

我们对存在于我们世界中的物体的视觉体验来自于光与表面的相互作用。光的结构方式使我们能够确定物体的材料属性。表面的外观使我们能够确定组成物体的材料是硬的、软的、滑的、湿的、柔韧的、易碎的或粗糙的(仅举几个例子)。这项拟议的工作将寻求确定视觉系统如何从图像中计算复杂的表面属性，这可以广泛应用于自动化系统的开发，以确定对象的材料属性。

Our visual experience of the objects that populate our world arises from the interaction of light with surfaces. The way in which light is structured allows us to determine the material properties of objects. The appearance of surfaces allows us to determine whether the materials of which objects are composed are hard, soft, slippery, wet, pliable, brittle, or rough (to name just a few). The proposed work will seek to determine how the visual system computes complex surface properties from images, which can be broadly applied to the development of automated systems to determine the material properties of objects.