Fisher Vector encoding (FV)
fisher.h implements the Fisher Vectors (FV) image representation [16] [17] . A FV is a statistics capturing the distribution of a set of vectors, usually a set of local image descriptors.
Getting started demonstrates how to use VLFeat to compute the FV representation of an image. For further details refer to:
- Fisher vector fundamentals - FV definition.
- Fisher kernel - Deriving the FV as a the Fisher Kernel.
Getting started
The Fisher Vector encoding of a set of features is obtained by using the function vl_fisher_encode. Note that the function requires a Gaussian Mixture Model (GMM) of the encoded feature distribution.