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 probabilistic framework for space carving"
  Abstract: This paper introduces a new probabilistic framework for Space Carving. In this framework each voxel is assigned a probability, which is computed by comparing the likelihoods for the voxel existing and not existing. This new framework avoids many of the difficulties associated with the original Space Carving algorithm. Specifically, it does not need a global threshold parameter, and it guarantees that no holes will be carved in the model. This paper also proposes that a voxel-based thick texture is a realistic and efficient representation for scenes which contain dominant planes. The algorithm is tested using both real and synthetic data, and both qualitative and quantitative results are presented.

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"
    - "Layered probability maps: basic framework and prototype system"
    - "Three-dimensional scene flow"
    - "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 "Probabilistic visibility for multi-view stereo"):
  with members:
    - "Accurate, Dense, and Robust Multiview Stereopsis"

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