基于镜面高光检测的明暗恢复形状新方法

镜面高光是由明暗恢复形状算法的重大障碍，但是对于单幅灰度图像，因为只包含亮度信息，现有以色度分析和极化分析为基础的高光检测方法均不能适用.为此，提出了一种利用表面形态分布信息检测镜面高光的方法.该方法充分利用成像过程信息，通过对表面法向量的估计，采用模拟退火算法，计算各反射成分的最大后验概率，从而实现高光区域检测，最后，利用基于曲率连续性假设的约束补色方法移除镜面高光.实验结果表明提出的算法在仿真和真实图像的高光检测中均具有较好的检测效果，有效提高了含镜面高光图像的表面恢复精度.

New Method of Shape-From-Shading Based on Specular Highlights Detection

The existence of specular highlights is a great obstacle of shape-from-Shading.For a single gray-scale image with only intensity information,the existed highlights detection methods based on chroma or polarization analysis can not directly be applied on it.So,a method using surface shape is provided,it makes full use of the imaging process.Through the surface normal estimation,compute the maximum a posteriori probability of each reflection composition under simulated annealing and detect the highlights areas,finally remove the highlights based on the assumption of curvature continuity.Experiments reveal that this method is effective on synthetic and real-world images,improves the accuracy of surface recovery for image combined specular highlights.