SGM-Nets: Semi-global matching with neural networks
这是kitti上排名靠前的文章 且最近希望能够从传统方法的角度上看看可否突破 因此这篇文章必定细读之 摘： SGM是一个常用的规范化方法，以其较高的精度以及较快的速率闻名于世。 通过改变SGM的惩罚参数来调节视差预测图是否平滑还是不连续，SGM能够取得一个较好的结果。所以要用好非常的不容易而且跟使用者的经验有很大的关系。 因此本文提出一种这个参数估计的方法，美其名曰 SGM-Net ，由卷积神经网
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相关文章
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