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| Publications [#347628] of Xiaobai Sun
Papers Published
- Campton, C; Sun, X, Auxiliary maximum likelihood estimation for noisy point cloud registration,
2019 IEEE High Performance Extreme Computing Conference Hpec 2019
(September, 2019), ISBN 9781728150208 [doi]
(last updated on 2026/01/14)
Abstract: We establish first a theoretical foundation for the use of Gromov-Hausdorff (GH) distance for point set registration with homeomorphic deformation maps perturbed by Gaussian noise. We then present a probabilistic, deformable registration framework. At the core of the framework is a highly efficient iterative algorithm with guaranteed convergence to a local minimum of the GH-based objective function. The framework has two other key components - a multi-scale stochastic shape descriptor and a data compression scheme. We also present an experimental comparison between our method and two existing influential methods on non-rigid motion between digital anthropomorphic phantoms extracted from physical data of multiple individuals.
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