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Stereo Analysis Extension Based on BRDF Reciprocity

机译:基于BRDF互动的立体声分析扩展

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This paper presents an extension of the binocular technique which considers reciprocal reflectance of surfaces. This particular property allows to recover depth information for surfaces where others stereo techniques failed, for example, textureless and highly specular surfaces. The consideration of an arbitrary BRDF (Bidirectional Reflectance Distribution Function) improves conventional stereo algorithms, in such a way that explicit or implicit assumptions about a reflectance function are not necessary and dense depth maps are obtained. Fixed specularities and correspondence between half-occluded regions reduce processing complexity which is an important advantage of this methodology. This paper provides a general geometry assembly to this approach extending its applicability to some specific areas where accurate depth measures are required. Several results from our implementation are shown using rendered ray-tracing stereo images.
机译:本文介绍了跨越表面的双目技术的延伸。该特定属性允许恢复用于曲面的深度信息,其中STEREO技术失败,例如,Texturebest和高度镜面。任意BRDF(双向反射率分布函数)的考虑改善了传统的立体声算法,以这样的方式,即关于反射函数的明确或隐式假设不是必需的,并且获得了密集的深度图。半闭塞区域之间的固定镜面和对应性降低了处理复杂性,这是该方法的重要优势。本文为该方法提供了一般的几何组件,将其适用于需要准确深度措施的某些特定区域。使用呈现的射线跟踪立体声图像显示了我们实现的几个结果。

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