Al-Shahri Mohammed, Yilmaz Alper
IEEE Trans Image Process. 2014 Sep;23(9):4199-4210. doi: 10.1109/TIP.2014.2331147. Epub 2014 Jun 17.
This paper introduces a new algorithm for matching lines across images that exploit the epipolar geometry and the coplanarity constraints between pairs of lines. In contrast to common treatment in matching of interest points, we use the epipolar geometry to constrain coplanarity conditions between line-pairs. This treatment eliminates the potential matching problems due to the incomplete line observations with nonmatching endpoints. This observation is used to detect a set of candidate line-pair correspondences. These matching pairs are then verified via local homography transforms derived from the neighboring interest point correspondences. This step results in a line affinity matrix which is processed to obtain matching lines. During this process, we do not use appearance models and show that the proposed treatment performs better than the state-ofthe- art appearance and geometry based methods especially for images with wide-baseline.
本文介绍了一种用于跨图像匹配直线的新算法，该算法利用了对极几何以及线对之间的共面性约束。与兴趣点匹配中的常见处理方法不同，我们使用对极几何来约束线对之间的共面条件。这种处理消除了由于端点不匹配导致的线观测不完整而产生的潜在匹配问题。利用这一观测结果来检测一组候选线对对应关系。然后通过从相邻兴趣点对应关系导出的局部单应性变换来验证这些匹配对。这一步骤会生成一个线亲和矩阵，对其进行处理以获得匹配直线。在此过程中，我们不使用外观模型，并表明所提出的处理方法比基于外观和几何的现有方法表现更好，特别是对于具有宽基线的图像。
