Nonrigid Point Set Registration With Robust Transformation Learning Under Manifold Regularization

@article{Ma2019NonrigidPS,
  title={Nonrigid Point Set Registration With Robust Transformation Learning Under Manifold Regularization},
  author={J. Ma and Jia Wu and Ji Zhao and J. Jiang and H. Zhou and Quan Z. Sheng},
  journal={IEEE Transactions on Neural Networks and Learning Systems},
  year={2019},
  volume={30},
  pages={3584-3597}
}
  • J. Ma, Jia Wu, +3 authors Quan Z. Sheng
  • Published 2019
  • Computer Science, Medicine
  • IEEE Transactions on Neural Networks and Learning Systems
This paper solves the problem of nonrigid point set registration by designing a robust transformation learning scheme. The principle is to iteratively establish point correspondences and learn the nonrigid transformation between two given sets of points. In particular, the local feature descriptors are used to search the correspondences and some unknown outliers will be inevitably introduced. To precisely learn the underlying transformation from noisy correspondences, we cast the point set… Expand
69 Citations
Ultrarobust support vector registration
SCM: Spatially Coherent Matching With Gaussian Field Learning for Nonrigid Point Set Registration
  • Gang Wang, Yufei Chen
  • Computer Science, Medicine
  • IEEE Transactions on Neural Networks and Learning Systems
  • 2021
A Unified Framework for Nonrigid Point Set Registration via Coregularized Least Squares
A Robust Point Set Registration Approach With Multiple Effective Constraints
Feature Matching for Remote Sensing Image Registration via Manifold Regularization
  • H. Zhou, Anna Dai, +4 authors Yanduo Zhang
  • Computer Science
  • IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
  • 2020
Non-rigid registration of point clouds using landmarks and stochastic neighbor embedding
A Robust Nonrigid Point Set Registration Method Based on Collaborative Correspondences
Non-Rigid Point Set Registration via Adaptive Weighted Objective Function
...
1
2
3
4
5
...

References

SHOWING 1-10 OF 62 REFERENCES
Non-Rigid Point Set Registration with Robust Transformation Estimation under Manifold Regularization
Non-Rigid Point Set Registration by Preserving Global and Local Structures
A robust non-rigid point set registration method based on asymmetric gaussian representation
Context-Aware Gaussian Fields for Non-rigid Point Set Registration
Point Set Registration: Coherent Point Drift
  • A. Myronenko, X. Song
  • Mathematics, Computer Science
  • IEEE Transactions on Pattern Analysis and Machine Intelligence
  • 2010
Robust Point Set Registration Using Gaussian Mixture Models
  • B. Jian, B. Vemuri
  • Mathematics, Computer Science
  • IEEE Transactions on Pattern Analysis and Machine Intelligence
  • 2011
Non-rigid Point Set Registration with Global-Local Topology Preservation
Robust Point Matching via Vector Field Consensus
Rigid and Articulated Point Registration with Expectation Conditional Maximization
Non-rigid visible and infrared face registration via regularized Gaussian fields criterion
...
1
2
3
4
5
...