Accurate and Robust Non-rigid Point Set Registration using Student’s-t Mixture Model with Prior Probability Modeling
Sign Up to like & getrecommendations! Published in 2018 at "Scientific Reports"
DOI: 10.1038/s41598-018-26288-6
Abstract: A new accurate and robust non-rigid point set registration method, named DSMM, is proposed for non-rigid point set registration in the presence of significant amounts of missing correspondences and outliers. The key idea of this… read more here.
Keywords: mixture model; set registration; point set; point ... See more keywords
Self-adaptive ergodic algorithm for equilibrium problems over the fixed point set
Sign Up to like & getrecommendations! Published in 2019 at "International Journal of Computer Mathematics"
DOI: 10.1080/00207160.2018.1520225
Abstract: ABSTRACT We introduce a new ergodic algorithm for solving equilibrium problems over the fixed point set of a nonexpansive mapping. In contrast to the existing one in Kim [The Bruck's ergodic iteration method for the… read more here.
Keywords: ergodic algorithm; algorithm; point set; equilibrium problems ... See more keywords
R3MR: Region Growing Based 3D Mesh Reconstruction for Big Data Platform
Sign Up to like & getrecommendations! Published in 2020 at "IEEE Access"
DOI: 10.1109/access.2020.2993964
Abstract: Visualization is one of the most intuitive and perceptible ways for information representation in the big data era. As an essential part of the visualization, 3D mesh reconstruction is facing great challenges due to its… read more here.
Keywords: reconstruction; data platform; point set; big data ... See more keywords
Convolution on Rotation-Invariant and Multi-Scale Feature Graph for 3D Point Set Segmentation
Sign Up to like & getrecommendations! Published in 2020 at "IEEE Access"
DOI: 10.1109/access.2020.3012613
Abstract: Invariance against rotation of 3D objects is one of the essential properties for 3D shape analysis. Recently proposed algorithms have achieved rotationally invariant 3D point set analysis by using inherently rotation-invariant 3D shape features, i.e.,… read more here.
Keywords: rotation; rotation invariant; point set; point ... See more keywords
Fast Gravitational Approach for Rigid Point Set Registration With Ordinary Differential Equations
Sign Up to like & getrecommendations! Published in 2021 at "IEEE Access"
DOI: 10.1109/access.2021.3084505
Abstract: This article introduces a new physics-based method for rigid point set alignment called Fast Gravitational Approach (FGA). In FGA, the source and target point sets are interpreted as rigid particle swarms with masses interacting in… read more here.
Keywords: gravitational approach; point set; rigid point; fast gravitational ... See more keywords
Registration-Is-Evaluation: Robust Point Set Matching With Multigranular Prior Assessment
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Geoscience and Remote Sensing"
DOI: 10.1109/tgrs.2021.3071550
Abstract: Point set registration is one of the challenging tasks in remote sensing image processing and analysis. Its critical step is to find the corresponding relationships between the fixed scene point set and the moving model… read more here.
Keywords: registration; registration evaluation; evaluation robust; point set ... See more keywords
A Robust Point Set Registration Approach With Multiple Effective Constraints
Sign Up to like & getrecommendations! Published in 2020 at "IEEE Transactions on Industrial Electronics"
DOI: 10.1109/tie.2019.2962433
Abstract: How to accurately register point sets still remains a challenging task, due to some unfavorable factors. In this article, a robust point set registration approach is proposed based on the Gaussian mixture model (GMM) with… read more here.
Keywords: effective constraints; multiple effective; robust point; point set ... See more keywords
Recognition and Calibration of Rail Profile Under Affine-Distortion-Based Point Set Mapping
Sign Up to like & getrecommendations! Published in 2017 at "IEEE Transactions on Instrumentation and Measurement"
DOI: 10.1109/tim.2016.2615448
Abstract: Rail section profile accurate measurement techniques are critical to guarantee the transport security and reduce the maintenance cost. However, the profile may make an affine transformation under vehicle vibration. It is a challenge to identify… read more here.
Keywords: point set; distortion; affine; rail ... See more keywords
2D-3D Point Set Registration Based on Global Rotation Search
Sign Up to like & getrecommendations! Published in 2019 at "IEEE Transactions on Image Processing"
DOI: 10.1109/tip.2018.2887207
Abstract: Simultaneously determining the relative pose and correspondence between a set of 3D points and its 2D projection is a fundamental problem in computer vision, and the problem becomes more difficult when the point sets are… read more here.
Keywords: problem; projection; point set; point ... See more keywords
Point-to-Set Distance Metric Learning on Deep Representations for Visual Tracking
Sign Up to like & getrecommendations! Published in 2018 at "IEEE Transactions on Intelligent Transportation Systems"
DOI: 10.1109/tits.2017.2766093
Abstract: For autonomous driving application, a car shall be able to track objects in the scene in order to estimate where and how they will move such that the tracker embedded in the car can efficiently… read more here.
Keywords: distance metric; point set; target; metric learning ... See more keywords
LPOT: Locality-Preserving Gromov-Wasserstein Discrepancy for Nonrigid Point Set Registration.
Sign Up to like & getrecommendations! Published in 2022 at "IEEE transactions on neural networks and learning systems"
DOI: 10.1109/tnnls.2022.3231652
Abstract: The main problems in point registration involve recovering correspondences and estimating transformations, especially in a fully unsupervised way without any feature descriptors. In this work, we propose a robust point matching method using discrete optimal… read more here.
Keywords: gromov wasserstein; registration; point; wasserstein discrepancy ... See more keywords