A fast approach for integrating ORB descriptors in the bag of words model
Costantino Grana, Daniele Borghesani, Marco Manfredi, Rita Cucchiara · Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE · 2013
In this paper we propose to integrate the recently introduces ORB descriptors in the currently favored approach for image classification, that is the Bag of Words model. In particular the problem to be solved is to provide a clustering method able to deal with the binary string nature of the ORB descriptors. We suggest to use a k-means like approach, called k-majority, substituting Euclidean distance with Hamming distance and majority selected vector as the new cluster center. Results combining this new approach with other features are provided over the ImageCLEF 2011 dataset.