首页> 外国专利> RECOGNITION APPARATUS, REAL NUMBER MATRIX DECOMPOSITION METHOD, AND RECOGNITION METHOD

RECOGNITION APPARATUS, REAL NUMBER MATRIX DECOMPOSITION METHOD, AND RECOGNITION METHOD

机译:识别装置,实数矩阵分解方法和识别方法

摘要

PROBLEM TO BE SOLVED: To provide a recognition apparatus capable of quickly recognizing a target that entails the inner product calculation between a binarized feature vector and each of a plurality of real number vectors.SOLUTION: An object recognition apparatus 30 comprises: a binary code conversion unit 33 that acquires a binarized feature vector x; a parameter-matrix decomposition unit 35 decomposing a real number matrix configured from a plurality of real number vectors qto qwhich serves as a dictionary of a plurality of classes for identifying the feature vector x into a sum of a plurality of MC(where i=1 to N and N is a natural number not smaller than 2); and a linear SVM identification unit 36 that calculates a product xMbetween the feature vector x and a basic matrix Mas calculation of an inner product between the feature vector x and each of the real number vectors qto q, and furthermore calculates the product between the product xMand a corresponding coefficient matrix C, thereby identifying each class for the feature vector x.SELECTED DRAWING: Figure 12
机译:解决的问题:提供一种能够快速识别目标的识别装置,该目标需要二值化特征向量与多个实数向量中的每一个之间的内积计算。解决方案:对象识别装置30包括:二进制代码转换单元33,获取二值化特征向量x;参数矩阵分解单元35将由用作识别特征矢量x的多个类别的字典的多个实数向量qto q构成的实数矩阵分解为多个MC(其中,i = 1至N且N为不小于2的自然数;线性SVM识别单元36,其计算特征向量x与每个实数向量qto q之间的内积的基本矩阵Mas计算之间的乘积xM,并进一步计算乘积xMand相应的系数矩阵C,从而识别特征向量x的每个类别。图12

著录项

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