A Binocular Helmholtz Stereo Method for Measuring Objects with Highlights
一种测量高光物体的双目Helmholtz立体视觉方法

A binocular Helmholtz stereo algorithm based on iterative dynamic programming method is proposed here and applied for measuring objects with highlights. In this algorithm, we first rectify the Helmholtz reciprocal image pairs. Then the end points of matching segments are detected. Lastly an iterative dynamic programming matching method is proposed to search for the matching points and reconstruct the depth of surface. Ray-tracing binocular Helmholtz images with highlights are used in our experiment and the disparity results show its good performance for reconstructing objects with highlights.