human: Given a hyperedge-centered hypergraph: <hypergraph>, where the center hyperedge is induced by one source paper and its member nodes are the cited papers.

Details of the hypergraph:
Center hyperedge (induced by source paper "inferring super resolution depth from a moving light source enhanced rgb d sensor a variational approach"):
  Abstract: A novel approach towards depth map super-resolution using multi-view uncalibrated photometric stereo is presented. Practically, an LED light source is attached to a commodity RGB-D sensor and is used to capture objects from multiple viewpoints with unknown motion. This non-static camera-to-object setup is described with a nonconvex variational approach such that no calibration on lighting or camera motion is required due to the formulation of an end-to-end joint optimization problem. Solving the proposed variational model results in high resolution depth, reflectance and camera pose estimates, as we show on challenging synthetic and real-world datasets.

Includes members:
  Member "on the well posedness of uncalibrated photometric stereo under general lighting":
    also connected through other hyperedges:
      (none)
  Member "photometric depth super resolution":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "variational uncalibrated photometric stereo under general lighting")
  Member "a differential volumetric approach to multi view photometric stereo":
    also connected through other hyperedges:
      (none)
  Member "detailed surface geometry and albedo recovery from rgb d video under natural illumination":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "detailed human shape estimation from a single image by hierarchical mesh deformation")
  Member "led based photometric stereo modeling calibration and numerical solution":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "3d face reconstruction using color photometric stereo with uncalibrated near point lights")
  Member "normal integration a survey":
    also connected through other hyperedges:
      - Hyperedge HE-4 (induced by source paper "variational uncalibrated photometric stereo under general lighting")
  Member "photo realistic single image super resolution using a generative adversarial network":
    also connected through other hyperedges:
      - Hyperedge HE-5 (induced by source paper "generative adversarial networks in computer vision a survey and taxonomy")
  Member "deep depth super resolution learning depth super resolution using deep convolutional neural network":
    also connected through other hyperedges:
      - Hyperedge HE-6 (induced by source paper "sparse to continuous enhancing monocular depth estimation using occupancy maps")

Question: Please tell me which class the source paper belongs to. The 40 classes are: cs.NA(Numerical Analysis), cs.MM(Multimedia), cs.LO(Logic in Computer Science), cs.CY(Computers and Society), cs.CR(Cryptography and Security), cs.DC(Distributed, Parallel, and Cluster Computing), cs.HC(Human-Computer Interaction), cs.CE(Computational Engineering, Finance, and Science), cs.NI(Networking and Internet Architecture), cs.CC(Computational Complexity), cs.AI(Artificial Intelligence), cs.MA(Multiagent Systems), cs.GL(General Literature), cs.NE(Neural and Evolutionary Computing), cs.SC(Symbolic Computation), cs.AR(Hardware Architecture), cs.CV(Computer Vision and Pattern Recognition), cs.GR(Graphics), cs.ET(Emerging Technologies), cs.SY(Systems and Control), cs.CG(Computational Geometry), cs.OH(Other Computer Science), cs.PL(Programming Languages), cs.SE(Software Engineering), cs.LG(Machine Learning), cs.SD(Sound), cs.SI(Social and Information Networks), cs.RO(Robotics), cs.IT(Information Theory), cs.PF(Performance), cs.CL(Computation and Language), cs.IR(Information Retrieval), cs.MS(Mathematical Software), cs.FL(Formal Languages and Automata Theory), cs.DS(Data Structures and Algorithms), cs.OS(Operating Systems), cs.GT(Computer Science and Game Theory), cs.DB(Databases), cs.DL(Digital Libraries), cs.DM(Discrete Mathematics). Directly output the class name.

gpt: cs.CV(Computer Vision and Pattern Recognition)