基于模板的图割立体匹配算法

Template Based Stereo Matching Algorithm Using Graph Cuts

近年来,基于图像或视频的三维重建技术的研究和应用越来越受到人们的关注,尤其是基于图像的三维重建技术。立体匹配技术是三维重建中的关键环节。提出了一种全局立体匹配算法——基于模板的图割立体匹配算法(TGC),该算法包括三个步骤:参考图像的分割、视差平面估计、使用图割方法为视差平面分配标签。选取Middlebury测试集,将文中的算法与立体匹配领域中的经典算法在PBM值和运行效率上进行了对比和分析,取得了较好的效果。

In recent years, more and more computer vision researchers pay attention to 3 D reconstruction based on images or videos, especially images. Stereo matching is one of the most important problems in the 3D reconstruction. Based on the idea of graph cut, this paper proposes a global stereo matching algorithm - - template based stereo matching algorithm using Graph cut （TGC） which need three steps to implement： the segmentation of reference image, disparity planar estimation, templates assigning to disparities using graph - cut. Then the paper gives the PBM and running time of several algorithms on the Middlebury test set, the proposed （TGC）, several classical algorithm of stereo matching. Experimental results show TGC can obtain satisfactory stereo matching results.