Search Results for author:
Found 9 papers, 4 papers with code
S2DNet: Learning Image Features for Accurate Sparse-to-Dense Matching
Establishing robust and accurate correspondences is a fundamental backbone to many computer vision algorithms.
Are Semi-Dense Detector-Free Methods Good at Matching Local Features?
We then propose to limit the computation of the matching accuracy to textured regions, and show that in this case SAM often surpasses SDF methods.
Visual Correspondence Hallucination
Given a pair of partially overlapping source and target images and a keypoint in the source image, the keypoint's correspondent in the target image can be either visible, occluded or outside the field of view.
Neural Reprojection Error: Merging Feature Learning and Camera Pose Estimation
Absolute camera pose estimation is usually addressed by sequentially solving two distinct subproblems: First a feature matching problem that seeks to establish putative 2D-3D correspondences, and then a Perspective-n-Point problem that minimizes, with respect to the camera pose, the sum of so-called Reprojection Errors (RE).
S2DNet: Learning Accurate Correspondences for Sparse-to-Dense Feature Matching
Establishing robust and accurate correspondences is a fundamental backbone to many computer vision algorithms.
Sparse-to-Dense Hypercolumn Matching for Long-Term Visual Localization
Given a query image, we first match it against a database of registered reference images, using recent retrieval techniques.
Improving Nighttime Retrieval-Based Localization
Outdoor visual localization is a crucial component to many computer vision systems.
Descending, lifting or smoothing: Secrets of robust cost optimization
Robust cost optimization is the challenging task of fitting a large number of parameters to data points containing a significant and unknown fraction of outliers.
Robust Large Scale Monocular Visual SLAM
This paper deals with the trajectory estimation of a monocular calibrated camera evolving in a large unknown environment, also known as monocular visual simultaneous localization and mapping.
