Robust feature matching using spatial clustering with heavy outliers

X Jiang, J Ma, J Jiang, X Guo - IEEE Transactions on Image …, 2019 - ieeexplore.ieee.org
This paper focuses on removing mismatches from given putative feature matches created
typically based on descriptor similarity. To achieve this goal, existing attempts usually …

Feature matching via motion-consistency driven probabilistic graphical model

J Ma, A Fan, X Jiang, G Xiao - International Journal of Computer Vision, 2022 - Springer
This paper proposes an effective method, termed as motion-consistency driven matching
(MCDM), for mismatch removal from given tentative correspondences between two feature …

Global BIM-point cloud registration and association for construction progress monitoring

Y Zhang, L Lu, X Luo, J Pan - Automation in Construction, 2024 - Elsevier
Traditional manual and semi-automatic approaches rely heavily on surveying control points
and manually picking equivalent point pairs, which is time-consuming and labor-intensive …

Efficient globally-optimal correspondence-less visual odometry for planar ground vehicles

L Gao, J Su, J Cui, X Zeng, X Peng… - 2020 IEEE International …, 2020 - ieeexplore.ieee.org
The motion of planar ground vehicles is often non-holonomic, and as a result may be
modelled by the 2 DoF Ackermann steering model. We analyse the feasibility of estimating …

Convex relaxations for consensus and non-minimal problems in 3D vision

T Probst, DP Paudel, A Chhatkuli… - Proceedings of the …, 2019 - openaccess.thecvf.com
In this paper, we formulate a generic non-minimal solver using the existing tools of
Polynomials Optimization Problems (POP) from computational algebraic geometry. The …

Learning-based relational object matching across views

C Elich, I Armeni, MR Oswald… - … on Robotics and …, 2023 - ieeexplore.ieee.org
Intelligent robots require object-level scene understanding to reason about possible tasks
and interactions with the environment. Moreover, many perception tasks such as scene …

Incremental Semantic Localization using Hierarchical Clustering of Object Association Sets

L Hu, Z Luo, R Yuan, Y Cao, J Wei… - arXiv preprint arXiv …, 2022 - arxiv.org
We present a novel approach for relocalization or place recognition, a fundamental problem
to be solved in many robotics, automation, and AR applications. Rather than relying on often …

Point Set Registration With Semantic Region Association Using Cascaded Expectation Maximization

L Hu, J Wei, Z Ouyang, L Kneip - 2021 IEEE International …, 2021 - ieeexplore.ieee.org
We introduce a new solution to point set registration, a fundamental geometric problem
occurring in many computer vision and robotics applications. We consider the specific case …