The discriminatory power of ordinal measures - towards a new coefficient

S. Scherer, A. Pinz, P. Werth
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引用次数: 23

Abstract

Perspective distortion, occlusion and specular reflection are challenging problems in shape-from-stereo. In this paper we review one recently published area-based stereo matching algorithm (Bhat and Nayar, 1998) designed to be robust in these cases. Although the algorithm is an important contribution to stereo-matching, we show that its coefficient has a low discriminatory power, which leads to a significant number of multiple best matches. In order to cope with this drawback we introduce a new normalized ordinal correlation coefficient. Experiments showing the behavior of the proposed coefficient are performed on various datasets including real data with ground truth. The new coefficient reduces the occurrence of multiple best matches to almost zero per cent. It also shows a more robust and equally accurate behavior. These benefits are achieved at almost no additional computational costs.
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序数措施的歧视性力量——朝向一个新的系数
透视失真、遮挡和镜面反射是立体形状中具有挑战性的问题。在本文中,我们回顾了最近发表的一种基于区域的立体匹配算法(Bhat和Nayar, 1998),该算法在这些情况下具有鲁棒性。尽管该算法对立体匹配做出了重要贡献,但我们表明其系数具有较低的区分能力,这导致了大量的多个最佳匹配。为了克服这一缺点,我们引入了一种新的归一化有序相关系数。实验显示了所提出的系数的行为在各种数据集上进行,包括真实数据与地面真值。新系数将多个最佳匹配的发生率降低到几乎为零。它还显示出更强的鲁棒性和同样准确的行为。这些好处几乎不需要额外的计算成本。
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