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    • 39. 发明授权
    • Method and component for image recognition
    • 图像识别方法和组件
    • US08335355B2
    • 2012-12-18
    • US12764650
    • 2010-04-21
    • Gabriel CostachePeter CorcoranRhys MulryanEran Steinberg
    • Gabriel CostachePeter CorcoranRhys MulryanEran Steinberg
    • G06K9/00G06K9/62
    • G06F17/30259G06K9/00221G06K9/00677
    • A method and system for image recognition in a collection of digital images includes training image classifiers and retrieving a sub-set of images from the collection. For each image in the collection, any regions within the image that correspond to a face are identified. For each face region and any associated peripheral region, feature vectors are determined for each of the image classifiers. The feature vectors are stored in association with data relating to the associated face region. At least one reference region including a face to be recognized is/are selected from an image. At least one classifier on which said retrieval is to be based is/are selected from the image classifiers. A respective feature vector for each selected classifier is determined for the reference region. The sub-set of images is retrieved from within the image collection in accordance with the distance between the feature vectors determined for the reference region and the feature vectors for face regions of the image collection.
    • 用于数字图像集合中的图像识别的方法和系统包括训练图像分类器和从集合中检索图像的子集。 对于集合中的每个图像,识别与图像对应的图像内的任何区域。 对于每个面部区域和任何相关联的外围区域,为每个图像分类器确定特征向量。 特征向量与关于相关联的面部区域的数据相关联地存储。 从图像中选择包括要识别的面部的至少一个参考区域。 从图像分类器中选择至少一个所述检索所基于的分类器。 针对参考区域确定每个所选分类器的相应特征向量。 根据为参考区域确定的特征向量与图像集合的面部区域的特征向量之间的距离,从图像集合内检索图像的子集。