SGER: Qualitative Guidance for Recovering Shape From Shading

这笔用于探索性研究的小额赠款将支持数学物理学家奥利恩斯博士与马萨诸塞大学计算机视觉实验室副主任艾伦·汉森合作进行的一个夏天的计算机视觉研究。奥利恩斯博士发现了从明暗恢复形状问题的有趣的定性性质，这意味着存在从灰度图像中独特地恢复物理表面形状的稳健算法。这笔赠款将支持实验验证和研究所需的软件实施，以超越当前理论的限制成像模型。

This Small Grant for Exploratory Research will support one summer of computer vision research by Dr. Oliensis, a mathematical physicist, in collaboration with Allen Hanson, Associate Director of the Computer Vision Laboratory at the University of Massachusetts. Dr. Oliensis has discovered interesting qualitative properties of the shape from shading problem, implying the existence of robust algorithms for unique recovery of physical surface shape from gray scale imagery. This grant will support software implementation needed for experimental verification and for investigation beyond the restricted imaging models of the current theory.