抄録
With the rapid improvement of the computation performance recently, pattern recognition has entered the generation of big data. Many different kinds of features and machine learning model have already been applied on the implementation based on big data. This paper proposed an approach of underwater creature recognition using SIFT feature and Bag-of-words model. SIFT feature, which considered to be a robust local feature, is introduced into deal with the deformation of underwater creatures. For machine learning and classification, Bag-of-words model is used in this paper to create the classifier, in a form of histogram. Evaluation experiments are executed and proved the effect of the system implemented in this paper.
