Abstract：Human being can process the nature scene rapidly and accurately, including categorization and object detecting, and this process, to some degrees, seems to be irrelevant with attention resource. Numerous cognitive neuroscience studies have demonstrated that the parahippocampal place area (PPA), occipitalplacearea (OPA) and the retrosplenial complex (RSC) play an important role in object recognition, scene categorization and social cognition. In addition to a systematical summarization of the achievements mentioned above, we also introduced a few models of natural scene recognition. Firstly, the cognitive models illustrated the role of feedforward processing and feedback processing, as well as their interaction, during scene recognition. Secondly, the computational models summarized the algorithm development of scene recognition and we also proposed some prospects to enrich the computational models so that these models could truly understand nature scene.