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: "Layered probability maps: basic framework and prototype system"
  Abstract: We propose an image-based rendering method called"layered prob-ability mapping." The algorithm requires modest computer power, but produces high-quality output images even from textureless or noisy input images. Thus, real-time applications such as immersive teleconferencing and live broadcasting are promising areas of use. The key idea is layered probability map (LPM) representation using a set of two-dimensional probabilistic functions. This accommodates ambiguities regarding object depth. To test the feasibility of this method, we developed a prototype system with nine synchronized cameras and a thirteen-PC cluster. By calculating the algorithm in parallel, stable 5-15fps image generation has been achieved without any off-line procedures between the image capture and display.

Connected through hyperedge HE-1 (induced by source paper "Photorealistic scene reconstruction by voxel coloring"):
  with members:
    - "Plenoptic image editing"
    - "Image-based rendering using image-based priors"
    - "Three-dimensional scene flow"
    - "A probabilistic framework for space carving"
    - "Voxel carving for specular surfaces"
    - "Tangible interaction + graphical interpretation: a new approach to 3D modeling"
    - "Optimal Distribution of Computational Power in Free Viewpoint Interpolation by Depth Hypothesis Density Adaptation in Plane Sweeping"

Connected through hyperedge HE-2 (induced by source paper "Real-time adaptive content retargeting for live multi-view capture and light field display"):
  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