Multi-H: Efficient recovery of tangent planes in stereo images

D. Baráth, Jiri Matas, Levente Hajder
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引用次数: 11

Abstract

Multi-H – an efficient method for the recovery of the tangent planes of a set of point correspondences satisfying the epipolar constraint is proposed. The problem is formulated as a search for a labeling minimizing an energy that includes a data and spatial regularization terms. The number of planes is controlled by a combination of MeanShift [6] and α-expansion [3]. Experiments on the fountain-P11 3D dataset show that Multi-H provides highly accurate tangent plane estimates. It also outperforms all state-of-the-art techniques for multihomography estimation on the publicly available AdelaideRMF dataset. Since Multi-H achieves nearly error-free performance, we introduce and make public a more challenging dataset for multi-plane fitting evaluation.
Multi-H:立体图像中切平面的高效恢复
提出了一种恢复满足极外约束的一组点对应的切平面的有效方法- Multi-H。这个问题被表述为寻找一个包含数据和空间正则化项的最小化能量的标记。平面数由MeanShift[6]和α-expansion[3]联合控制。在fountain-P11三维数据集上的实验表明,Multi-H算法提供了高精度的切平面估计。它还优于所有最先进的技术,在公开可用的AdelaideRMF数据集上进行多单应性估计。由于Multi-H实现了几乎无误差的性能,我们引入并公开了一个更具挑战性的数据集,用于多平面拟合评估。
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