首页> 外国专利> System and method for performing classification through generative models of features occurring in an image

System and method for performing classification through generative models of features occurring in an image

机译:通过图像中出现的特征的生成模型执行分类的系统和方法

摘要

A system and method for image performing classification through generative models of features occurring in an image. Category-conditional probability distributions of features occurring in a plurality of training images are maintained. Each distribution is assigned to a category. The features occurring in an unclassified image are identified. Category-conditional likelihoods for the identified features are determined using the category-conditional probability distributions for each category. The unclassified image is assigned to one such category based upon the category-conditional likelihoods.
机译:一种用于通过图像中出现的特征的生成模型对图像进行分类的系统和方法。维持在多个训练图像中出现的特征的类别条件概率分布。每个分布都分配给一个类别。识别出现在未分类图像中的特征。使用每个类别的类别条件概率分布来确定所识别特征的类别条件似然。根据类别条件似然将未分类图像分配给一个这样的类别。

著录项

  • 公开/公告号US8000538B2

    专利类型

  • 公开/公告日2011-08-16

    原文格式PDF

  • 申请/专利权人 PRATEEK SARKAR;

    申请/专利号US20060644776

  • 发明设计人 PRATEEK SARKAR;

    申请日2006-12-22

  • 分类号G06K9/62;

  • 国家 US

  • 入库时间 2022-08-21 18:11:31

相似文献

  • 专利
  • 外文文献
  • 中文文献
获取专利

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