Inference and Model Building for Vision-based Estimation of Transmissive Objects

这项建议旨在促进计算机视觉和图像处理领域的最新水平，目的是扩大和加强成像模式在我们对世界的理解中的使用。图像是一个丰富的信息来源，在许多情况下都很容易捕捉到。处理这些图像并从中提取含义的能力是计算机视觉的关键目标。这项建议的长期目标和PI的研究计划总体上是理论和实践发展的模型，使之能够从图像估计世界的属性。一个这样的问题是对透射物的详细3D结构的估计。这种物体的成像和重建出现在一系列领域，包括：云、玻璃、水或烟等半透明物体的光学成像，用于医疗目的的人和动物的X射线成像，以及传输电子成像或材料和生物标本。

This proposal seeks to further the state of the art in the field of computer vision and image processing, with the goal of expanding and reinforcing the use of imaging modalities in our understanding of the world. Images are a rich source of information which are readily captured in many scenarios. The ability to process these images and extract meaning from them is the key goal of computer vision. The long-term objective of this proposal and the PI’s research program in general is the theoretical and practical development of models which enable the estimation of properties of the world from images. One such problem is the estimation of detailed 3D structure of transmissive objects. Imaging and reconstruction of such objects arises in a range of domains including: optical imaging of translucent objects like clouds, glass, water or smoke, x-ray imaging of humans and animals for medical purposes, and transmission electron imaging or materials and biological specimens.