关于透明度,运动揭示了什么?

M. Ben-Ezra, S. Nayar
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引用次数: 110

摘要

从图像中感知透明物体是一个非常困难的视觉问题。对于单个图像,甚至很难检测到场景中透明物体的存在。在本文中,我们探讨了一个移动的观察者对透明物体的看法。我们展示了通过透明对象成像的特征如何与那些刚性附着在场景中的特征表现不同。我们提出了一种新的基于模型的方法来从已知的运动中恢复透明物体的形状和姿态。物体可以是复杂的,因为它们可以由具有不同折射率的多层组成。我们已经进行了大量的模拟来验证我们算法的实际可行性。我们将其应用到包含透明物体的真实场景中,并以较高的精度恢复了物体的形状。
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What does motion reveal about transparency?
The perception of transparent objects from images is known to be a very hard problem in vision. Given a single image, it is difficult to even detect the presence of transparent objects in the scene. In this paper, we explore what can be said about transparent objects by a moving observer. We show how features that are imaged through a transparent object behave differently from those that are rigidly attached to the scene. We present a novel model-based approach to recover the shapes and the poses of transparent objects from known motion. The objects can be complex in that they may be composed of multiple layers with different refractive indices. We have conducted numerous simulations to verify the practical feasibility of our algorithm. We have applied it to real scenes that include transparent objects and recovered the shapes of the objects with high accuracy.
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