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

该提案旨在进一步发展计算机视觉和图像处理领域的最新技术，其目标是扩大和加强成像模式在我们对世界的理解中的使用。图像是在许多情况下容易捕获的丰富信息源。处理这些图像并从中提取意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的研究计划一般是模型的理论和实践发展，使世界的性质估计从图像。一个这样的问题是透射对象的详细3D结构的估计。这种物体的成像和重建出现在一系列领域中，包括：半透明物体如云、玻璃、水或烟的光学成像，用于医学目的的人类和动物的X射线成像，以及材料和生物标本的透射电子成像。

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.