Creating features using Visual Codebook and vector quantization

To build an object recognition system, we need to extract feature vectors from each image. Each image needs to have a signature that can be used for matching. We use a concept called Visual Codebook to build image signatures. This codebook is basically the dictionary that we will use to come up with a representation for the images in our training data image signatures set. We use vector quantization to cluster many feature points and come up with centroids. These centroids will serve as the elements of our Visual Codebook.

Getting ready

In this recipe, we will create features using Visual Codebook and vector quantization. To build a robust object recognition...