存在镜面反射时的立体匹配研究

Research on Binocular Stereo Matching in the Presence of Specular Reflections

传统的立体匹配方法建立在Lambertian的漫反射模型之上,漫反射模型的立体匹配在一个图像中大部分是有效的,但是在处理图像中包含镜面反射部分时结果会产生严重的匹配错误。为了解决个问题,根据二色反射模型引入一种漫反射和镜面反射的分离方法,匹配图像中存在镜面反射部分时先滤除掉镜面反射再进行匹配,在镜面反射部分也能匹配得到正确的视差。实验结果证明该方法很有效。

Traditional stereo correspondence algorithms rely heavily on the Lambertian model of diffuse reflectance. While this diffuse assumption is generally valid for much of an image, processing of regions that contain specular reflections can result in severe matching errors. We addressed the problem of binocular stereo dense matching in the presence of specular reflections by introducing a novel correspondence measurement which separates reflection components based on chromaticity. Accurate depth can be estimated for both diffuse and specular regions. Unlike the previous works which seek to eliminate or avoid specular reflections using image preprocessing or multibaseline stereo, our approach works in its presence. Experiments with both synthetic demonstrate the effectiveness and robustness of our approach.