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的大多部分是有效的，但是在处理图像中包含镜面反射的部分时结果会产生严重的匹配错误。笔者利用漫反射和镜面反射在灰度和最大色度上的不同，分离出镜面反射的像素，然后采用一种针对镜面反射的匹配测度，在图像中漫反射部分和镜面反射部分都能匹配得到正确的视差。结果证明了方法的有效性。

Traditional stereo correspondence algorithms rely heavily on the Lambertian model of diffuse reflectance. While this diffuse assumption is generally valid for most part of an image, processing of regions that contain specular reflections can result in severe matching errors. In this paper, we address the problem of binocular stereo dense matching in the presence of specular reflections by introducing a novel correspondence measurement which is robust to the specular reflections. 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 demonstrate the effectiveness and robustness of our approach.