Maximum-likelihood image matching
Maximum-likelihood image matching
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DOI：
10.1109/tpami.2002.1008392
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发表时间：
2002-06-01
影响因子：
23.6
通讯作者：
Olson, CF
中科院分区：
文献类型：
--
作者：
Olson, CF
跟踪和立体等图像匹配应用通常使用平方差和 (SSD) 度量来确定最佳匹配。然而，该度量对异常值敏感，并且对模板变化不稳健。还提出了对这些问题更有效的替代措施。我们使用最大似然估计方面的图像匹配概率公式来改进这些，可用于边缘模板匹配和灰度图像匹配。该公式概括了先前基于距离变换的边缘匹配方法。我们将这些技术应用于立体匹配和特征跟踪。不确定性估计技术允许通过选择最小化定位不确定性的特征来执行特征选择。
Image matching applications such as tracking and stereo commonly use the sum-of-squared-difference (SSD) measure to determine the best match. However, this measure is sensitive to outliers and is not robust to template variations. Alternative measures have also been proposed that are more robust to these issues. We improve upon these using a probabilistic formulation for image matching in terms of maximum-likelihood estimation that can be used for both edge template matching and gray-level image matching. This formulation generalizes previous edge matching methods based on distance transforms. We apply the techniques to stereo matching and feature tracking. Uncertainty estimation techniques allow feature selection to be performed by choosing features that minimize the localization uncertainty.