Detection and segmentation of mirror-like surfaces using structured illumination

R. Aggarwal, A. Namboodiri
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引用次数: 1

Abstract

In computer vision, many active illumination techniques employ Projector-Camera systems to extract useful information from the scenes. Known illumination patterns are projected onto the scene and their deformations in the captured images are then analyzed. We observe that the local frequencies in the captured pattern for the mirror-like surfaces is different from the projected pattern. This property allows us to design a custom Projector-Camera system to segment mirror-like surfaces by analyzing the local frequencies in the captured images. The system projects a sinusoidal pattern and capture the images from projector's point of view. We present segmentation results for the scenes including multiple reflections and inter-reflections from the mirror-like surfaces. The method can further be used in the separation of direct and global components for the mirror-like surfaces by illuminating the non-mirror-like objects separately. We show how our method is also useful for accurate estimation of shape of the non-mirror-like regions in the presence of mirror-like regions in a scene.
使用结构照明的镜面检测和分割
在计算机视觉中,许多主动照明技术采用投影-相机系统从场景中提取有用的信息。已知的照明模式被投射到场景上,然后在捕获的图像中分析它们的变形。我们观察到,在镜状表面的捕获模式的局部频率不同于投影模式。这个属性允许我们设计一个定制的投影-相机系统,通过分析捕获图像中的本地频率来分割镜面。该系统投射一个正弦模式,并从投影仪的角度捕获图像。我们给出了包括镜状表面的多重反射和间反射在内的场景分割结果。该方法可进一步用于分离镜面的直接分量和全局分量,通过分别照射非镜面物体。我们展示了我们的方法如何在场景中存在镜像区域的情况下准确估计非镜像区域的形状。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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