SGER: Qualitative Guidance for Recovering Shape From Shading

这项探索性研究的小额赠款将支持一个 Oliensis博士的计算机视觉研究， 数学物理学家，与艾伦汉森合作， 计算机视觉实验室副主任， 马萨诸塞州大学。 奥利西斯博士发现 有趣的定性性质的形状从阴影 问题，这意味着存在鲁棒算法的唯一 从灰度图像恢复物理表面形状。 这 赠款将支持所需的软件实施， 实验验证和调查以外的 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.