NM-Net: Mining reliable neighbors for robust feature correspondences
Feature correspondence selection is pivotal to many feature-matching based tasks in
computer vision. Searching spatially k-nearest neighbors is a common strategy for extracting …
computer vision. Searching spatially k-nearest neighbors is a common strategy for extracting …
Learning second-order attentive context for efficient correspondence pruning
Correspondence pruning aims to search consistent correspondences (inliers) from a set of
putative correspondences. It is challenging because of the disorganized spatial distribution …
putative correspondences. It is challenging because of the disorganized spatial distribution …
CE-Net: A coordinate embedding network for mismatching removal
S Chen, J Niu, C Deng, Y Zhang, F Chen, F Xu - IEEE Access, 2021 - ieeexplore.ieee.org
Mismatching removal is at the core yet still a challenging problem in the photogrammetry
and computer vision field. In this paper, we propose a coordinate embedding network …
and computer vision field. In this paper, we propose a coordinate embedding network …
Iterative Clustering with Game-Theoretic Matching for Robust Multi-consistency Correspondence
Matching corresponding features between two images is a fundamental task to computer
vision with numerous applications in object recognition, robotics, and 3D reconstruction …
vision with numerous applications in object recognition, robotics, and 3D reconstruction …