Perspective photometric methods for non-Lambertian surfaces

非朗伯表面的透视光度法

• 批准号: 323105910
• 负责人: Professor Dr. Michael Breuß
• 金额: --
• 依托单位: Lehrstuhl Numerische und Angewandte Mathematik
• 依托单位国家: 德国
• 项目类别: Research Grants
• 财政年份: 2016
• 资助国家: 德国
• 起止时间: 2015-12-31 至 2021-12-31
• 项目状态: 已结题
• 来源: https://gepris.dfg.de/gepris/projekt/323105910?language=en
• 关键词: Perspective; photometric; methods; non; Lambertian

Specular highlights bear significant information for the spatial perception of glossy or mirror-like surfaces. Together with the shading of objects and the linear perspective such illumination effects are for instance used in paintings in order to give a threedimensional impression of depicted scenes.In recent photometric methods in computer vision, different illumination directions are used together with such linear perspective views, however, up to now this has only been considered together with the simplest model of diffuse surface reflectance. Specular reflections have often been considered asoutliers, although exactly such effects can provide important information of threedimensional shape.Moreover, also diffuse reflectance is known to be of complex nature for many materials, but advanced reflectance models have not been employed in photometric stereo up to now.The aim of this DFG-project is to provide new models for perspective photometric 3-D reconstruction. In particular specular highlights and other non-Lambertian effects shall be considered for shape computation in these new models. In contrast to other modern methods for photometric stereo a more flexible modelling approach shall be employed that allows for the estimation of model parameters which is highly important for practical applications.

镜面反射高光为光滑或镜面状表面的空间感知提供了重要信息。与物体的阴影和线性透视一起，这种照明效果例如用于绘画中，以给出所描绘场景的三维印象。在最近的计算机视觉测光方法中，不同的照明方向与这种线性透视图一起使用，然而，到目前为止，这只被认为是与最简单的漫反射模型一起使用。镜面反射通常被认为是异常值，尽管这种效应可以提供重要的三维形状信息，而且漫反射对于许多材料来说也是复杂的，但是先进的反射模型至今还没有被应用到光度立体中，DFG项目的目的是为透视光度立体重建提供新的模型。特别是镜面高光和其他非朗伯效应应考虑在这些新模型的形状计算。与光度立体的其他现代方法相比，应采用更灵活的建模方法，该方法允许对模型参数进行估计，这对实际应用非常重要。