Image recognition using features vectors likeness

摘要

In this work we present a system that is able to identify lonely objects according to the likeness of feature vectors. In order to identify every object, the system uses a database that consists of images identified by a whole of associated features. If we compare image features with another ones in the database, we will get the object in the database that has the highest likeness with the one we proposed. Besides we have added some of the trials achieved with different series of images, as well as the conclusions related to the fact of identifying objects using feature vectors.