human: Given a node-centered hypergraph: <hypergraph>, where nodes represent authors and hyperedges represent groups of authors who co-authored the same paper.

Details of the hypergraph:
Center node: "A saliency prediction model on 360 degree images using color dictionary based sparse representation"
  Abstract: Abstract   In this paper, a model using color dictionary based sparse representation for 360° image saliency prediction is proposed, referred to as CDSR. The proposed model simulates human color perception, extracting the image features by color dictionary based sparse representation, combining with weighted center–surround differences between image patches. Additionally, the partitioning operation, and latitude-bias enhancement are integrated into the proposed model to adapt for 360° image saliency prediction. Experimental results on both natural images and 360° images show the superior performances of the proposed saliency prediction model.

Connected through hyperedge HE-1 (induced by source paper "The prediction of head and eye movement for 360 degree images"):
  with members:
    (none)

Question: Please tell me which research area the center author belongs to. The 4 classes are: Computer science, Mathematics, Engineering, Economics, Psychology, Business. Directly output the class name.

gpt: Computer science