An Image Local Feature Representation Method Using Hierarchical Vision Network Model

For representing local image features,minor price,more efficient and more flexible,a hierarchical network model based on human vision physiological mechanism was put forward.Firstly,simple cell and complex cell in primary visual cortex are modeled,then studied the response pattern of V4 area and inferior temporal cortex on ventral side channel and representing the local features of input image utilized the computational model.The experiment results show that local image features extracted by computational model have sufficient discrimination;furthermore,the local image features extracted using biological visual model demonstrated much more excellent generalization ability in natural scene with complicated background.