张量分析在视差图生成中的应用

针对当前视差图生成算法中常用的匹配代价对光晕等复杂光学畸变比较敏感的问题，在对相机成像模型进行分析的基础上提出了一种基于张量分析的匹配代价。和目前常用的匹配代价相比，该匹配代价不但对光晕效应具有更强的鲁棒性而且能够更加准确的反映图像的局部结构信息，有效的降低了匹配的歧义性。在本文中，张量在积分图像上构造，张量间的距离在黎曼流形上测量；此外，提出了一种简单有效的视差图后续处理方法进一步修正了初始视差图中的不可信视差。在标准测试集和人工图像上的实验结果验证了该方法的有效性。

Disparity map generation with tensor analysis

To reduce the sensitivity of the matching costs to complex optical distortions such as vignetting, by fully exploiting the imaging model, a new matching cost using tensor analysis has been put forward. Compared with conventional costs, the proposed cost is resistive to complex distortions such as lens vignetting. Besides, it can reduce the matching ambiguity by reflecting the local image structure to a finer degree. We construct the proposed tensors rapidly on integral image and measure their distance on Riemannian manifold. In addition, a simple but effective disparity post-processing method is employed to further emend errors in the initial disparity map. Experimental results on benchmark and synthetic images verify the effectiveness of the proposed algorithm.