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Image retrieval learning record

CMake 0.08% C++ 2.48% C 93.99% Objective-C 2.48% Roff 0.97%

imageretrieval's Introduction

Image Retrieval

在构建图像特征库的时候,通常不会使用原始的图像特征,这是由于Raw Feature有很多冗余信息,而且维度过高在构建特征数据库和匹配的时候效率较低。所以,通常要对提取到的原始特征进行重新编码。比较常用的三种编码方式:

  • BoF , Bog of Feature 源于文本处理的词袋模型(Bog,Bag of Words)
  • VLAD , Vector of Aggragate Locally Descriptor
  • FV , fisher vector

特征提取

  • vlfeat sift 特征提取
  • PCA降维
  • kmeans聚类

编码方式

  • BoF
  • VLAD
  • FV

imageretrieval's People

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