Bag of Visual Word模型

虽然计算机视觉已经全部转向Deep Learning，但还是想写几篇博文对过去十年里一直使用的Bag of Visual Word模型进行归纳总结。

针对BoW模型，网上也能搜索到大量资料，下面的几个文章是其中比较具有代表性的。

2004--ECCV-"Visual Categorization with Bags of Keypoints"

2006--CVPR-"Beyond bags of features: spatial pyramid matching for recognizing natural scene categories"

2010--CVPR--"Locality-constrained Linear Coding for image classification"

2010--CVPR--"Aggregating local descriptors into a compact image representation"

2011--BMVC--"The devil is in the details: an evaluation of recent feature encoding methods"

2013--IJCV--"Image Classification with the Fisher Vector: Theory and Practice"

2014--TPAMI--"Feature Coding in Image Classification: A Comprehensive Study"

2014--BMVC--Tutorial--"Image Representations, from shallow to deep"

 

1. Basic BoW

2. Spatial Pyramid Model

3. Fisher Vector

4. Sparse Coding