BOW(words),BOF(feature),BOK(keypoints)

BoF的做法是类似的:

  1. 对图库中的图像提取特征点,比如sift,surf,mser等
  2. 生成特征点的词典:对特征点进行聚类,k-means会是不错的选择
  3. 生成图片的BOF:对图片中的特征点,找到其在词典中的分类,然后计算该特征点的tf-idf权重,一张图像中所有特征点的分类和权重,构成了这张图像的BOF表示
  4. 查询过程是计算出查询图像的bof并跟图库中图像bof距离比较的过程
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