• 主题
高级搜索  >
历史搜索 清空历史
首页> 外文会议> >The use of lexical basis functions to characterize faces, and to measure their perceived similarity
【24h】

The use of lexical basis functions to characterize faces, and to measure their perceived similarity

机译：使用词汇基础函数来表征面孔并衡量其感知的相似性

获取原文
页面导航
  • 摘要
  • 著录项
  • 相似文献
  • 相关主题

摘要

Over the last decade researchers have devised algorithms that can provide similarity measures between pairs of face images. These have been somewhat successful in estimating the similarities between face images under controlled conditions. However, those similarity measures do not parallel subjective similarity, as perceived by humans. In some applications it is important to have a similarity metric that closely parallels that of humans. This paper describes a method for discovering the high-level features that are used by humans to judge facial similarity through the use of "lexical basis functions" gleaned from a lexicon of the English language. This method estimates the similarity of each pair of images in a set of face images by two independent methods - by the subjective evaluation of human observers, and by the use of "lexical basis functions" to represent the multidimensional content of each image with a feature vector. The similarity measure computed with these feature vectors is shown to corr-elate with the subjective judgment of human observers, and thus provides both a more objective method for evaluating and expressing image content, and a possible path to automating the process of similarity measurement in the future.
机译：在过去十年的研究人员中，已经设计了可以在面部成对之间提供相似度量的算法。这些在估计受控条件下的面部图像之间的相似性时已经有所成功。然而，那些相似度措施不会被人类所感知的并行主观相似性。在一些应用中，重要的是具有与人类的相似性度量非常重要。本文介绍了一种发现人类使用的高级特征来判断面部相似性通过使用英语语言的词典中的“词汇基函数”来判断面部相似性。该方法通过两个独立方法估计每对面部图像中的每对图像的相似性 - 通过使用“词汇基函数”来表示具有特征的每个图像的多维内容向量。用这些特征向量计算的相似度测量被示出为具有人类观察者的主观判断，从而提供了一种更客观的方法来评估和表达图像内容，以及实现相似性测量过程的可能路径未来。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱：kefu@zhangqiaokeyan.com

京公网安备：11010802029741号 ICP备案号：京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有

  • 客服微信

  • 服务号