human: Given a node-centered hypergraph: <hypergraph>, where nodes represent papers and hyperedges represent sets of papers co-cited by a source paper.

Details of the hypergraph:
Center node: "a minimal solution for two view focal length estimation using two affine correspondences"
  Abstract: A minimal solution using two affine correspondences is presented to estimate the common focal length and the fundamental matrix between two semi-calibrated cameras - known intrinsic parameters except a common focal length. To the best of our knowledge, this problem is unsolved. The proposed approach extends point correspondence-based techniques with linear constraints derived from local affine transformations. The obtained multivariate polynomial system is efficiently solved by the hidden-variable technique. Observing the geometry of local affinities, we introduce novel conditions eliminating invalid roots. To select the best one out of the remaining candidates, a root selection technique is proposed outperforming the recent ones especially in case of high-level noise. The proposed 2-point algorithm is validated on both synthetic data and 104 publicly available real image pairs. A Matlab implementation of the proposed solution is included in the paper.

Connected through hyperedge HE-1 (induced by source paper "pl _ 1 p point line minimal problems under partial visibility in three views"):
  with members:
    - "trifocal relative pose from lines at points and its efficient solution"
    - "plmp point line minimal problems in complete multi view visibility"
    - "neighbourhood consensus networks"
    - "five point fundamental matrix estimation for uncalibrated cameras"
    - "a minimal closed form solution for multi perspective pose estimation using points and lines"
    - "inloc indoor visual localization with dense matching and view synthesis"
    - "a clever elimination strategy for efficient minimal solvers"
    - "multiview differential geometry of curves"

Connected through hyperedge HE-2 (induced by source paper "plmp point line minimal problems in complete multi view visibility"):
  with members:
    - "trifocal relative pose from lines at points and its efficient solution"
    - "beyond gr obner bases basis selection for minimal solvers"
    - "neighbourhood consensus networks"
    - "five point fundamental matrix estimation for uncalibrated cameras"
    - "a minimal closed form solution for multi perspective pose estimation using points and lines"
    - "inloc indoor visual localization with dense matching and view synthesis"
    - "a clever elimination strategy for efficient minimal solvers"
    - "multiview differential geometry of curves"

Connected through hyperedge HE-3 (induced by source paper "minimal solutions for relative pose with a single affine correspondence"):
  with members:
    - "homography from two orientation and scale covariant features"
    - "plmp point line minimal problems in complete multi view visibility"
    - "five point fundamental matrix estimation for uncalibrated cameras"
    - "orb slam2 an open source slam system for monocular stereo and rgb d cameras"
    - "on the existence of epipolar matrices"
    - "mods fast and robust method for two view matching"

Connected through hyperedge HE-4 (induced by source paper "homography from two orientation and scale covariant features"):
  with members:
    - "five point fundamental matrix estimation for uncalibrated cameras"
    - "a clever elimination strategy for efficient minimal solvers"
    - "radially distorted conjugate translations"
    - "graph cut ransac"
    - "mods fast and robust method for two view matching"

Connected through hyperedge HE-5 (induced by source paper "convex relaxations for consensus and non minimal problems in 3d vision"):
  with members:
    - "modeling perceptual aliasing in slam via discrete continuous graphical models"
    - "robust fitting in computer vision easy or hard"
    - "deterministic consensus maximization with biconvex programming"
    - "rotation averaging and strong duality"

Connected through hyperedge HE-6 (induced by source paper "optimal multi view correction of local affine frames"):
  with members:
    - "multi class model fitting by energy minimization and mode seeking"
    - "radially distorted conjugate translations"
    - "mods fast and robust method for two view matching"

Connected through hyperedge HE-7 (induced by source paper "relative planar motion for vehicle mounted cameras from a single affine correspondence"):
  with members:
    - "repeatability is not enough learning affine regions via discriminability"
    - "graph cut ransac"
    - "mods fast and robust method for two view matching"

Connected through hyperedge HE-8 (induced by source paper "recovering affine features from orientation and scale invariant ones"):
  with members:
    - "five point fundamental matrix estimation for uncalibrated cameras"
    - "radially distorted conjugate translations"
    - "graph cut ransac"
    - "mods fast and robust method for two view matching"

Question: Please tell me which class the center node 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)