利用立体图对的三维人脸模型重建算法

利用人脸正面立体图对重建三维人脸模型。无需三维激光扫描仪和通用人脸模型．获取立体图对并校正后，利用种子像素扩张算法实现图像匹配．种子像素选取算法能使足够数量的种子像素具有可靠视差；还提出了基于视差置信度的扩张算法，降低了视差图中大面积误匹配区域出现的可能性；最后，利用碟状粒子描述和Delaunay三角剖分重建三维人脸模型．实验结果表明，文中算法能够产生光滑逼真的三维人脸模型．

From Stereo Pair to 3D Face Model

An algorithm is proposed to generate 3D face model by depth map with a pair of stereo images. By the algorithm, a pair of images is first captured, and rectified to align the epipolar lines and compensate for the image distortions. Then image matching is accomplished based on seed voxels where a novel seed voxel selection method is proposed. The method guarantees that sufficient seed voxels be selected, with accurate disparities among the seed voxels. Besides, a disparity expansion algorithm based on the reliability of the disparity is also proposed, and it minimizes the area where erroneous disparities occur. After image matching, the 3D face model is reconstructed, and the face surface is smoothened with particle-based representation and Delaunay triangulation. Experimental results show that the reconstruction results are smooth and vivid.