Weighted peak ratio for estimating stereo confidence level using color similarity

Sanghun Kim, C. Jang, Young Hwan Kim
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引用次数: 2

Abstract

In this paper, we propose a new stereo confidence metric, weighted peak ratio. Unlike existing confidence metrics, it computes the confidence level using the costs of surrounding pixels and given weights based on the color similarity between the pixels. In the experimental results, the proposed confidence metric showed better performance in detecting outliers compared to the state-of-the-art confidence metric, average peak ratio. Especially, the proposed metric is effective in object boundary regions.
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加权峰值比估计立体置信水平使用颜色相似
本文提出了一种新的立体置信度度量——加权峰值比。与现有的置信度度量不同,它使用周围像素的成本和基于像素之间颜色相似度的给定权重来计算置信度。实验结果表明,所提出的置信度指标在检测异常值方面表现出比目前最先进的置信度指标平均峰值比更好的性能。特别地,该度量在目标边界区域是有效的。
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