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Exemplar-based feature weighting

机译:基于示例的特征加权

摘要

In an example embodiment, for each of the image exemplars, a first location offset between an actual landmark location for a first landmark in the image exemplar and a predicted landmark location for the first landmark in the image exemplar is determined. Then, a probability that the image recognition process applied using the first feature produces an accurate identification of the first landmark in the image exemplars is determined based on the first location offsets for each of the image exemplars. A weight may then be assigned to the first feature based on the derived probability. An image recognition process may then be performed on an image, the image recognition process utilizing a voting process, for each of one or more features, for one or more landmarks in the plurality of image exemplars, the voting process for the first feature weighted according to the weight assigned to the first feature.
机译:在示例实施例中,对于每个图像示例,确定图像示例中的第一地标的实际地标位置与图像示例中的第一地标的预测地标位置之间的第一位置偏移。然后,基于每个图像示例的第一位置偏移,确定使用第一特征应用的图像识别处理产生图像示例中的第一界标的准确标识的概率。然后可以基于导出的概率将权重分配给第一特征。然后可以对图像执行图像识别过程,该图像识别过程利用表决过程,针对一个或多个特征中的每一个,针对多个图像样本中的一个或多个地标,针对第一特征的表决过程进行加权分配给第一个特征的权重。

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