Search Results for author:
Found 9 papers, 3 papers with code
Yes, we CANN: Constrained Approximate Nearest Neighbors for local feature-based visual localization
In this paper, we take a step back from this assumption and propose Constrained Approximate Nearest Neighbors (CANN), a joint solution of k-nearest-neighbors across both the geometry and appearance space using only local features.
SNAP: Self-Supervised Neural Maps for Visual Positioning and Semantic Understanding
Semantic 2D maps are commonly used by humans and machines for navigation purposes, whether it's walking or driving.
Efficient Large Scale Inlier Voting for Geometric Vision Problems
Outlier rejection and equivalently inlier set optimization is a key ingredient in numerous applications in computer vision such as filtering point-matches in camera pose estimation or plane and normal estimation in point clouds.
SuperNCN: Neighbourhood consensus network for robust outdoor scenes matching
In this paper, we present a framework for computing dense keypoint correspondences between images under strong scene appearance changes.
Large-scale, real-time visual-inertial localization revisited
Our approach spans from offline model building to real-time client-side pose fusion.
SConE: Siamese Constellation Embedding Descriptor for Image Matching
Numerous computer vision applications rely on local feature descriptors, such as SIFT, SURF or FREAK, for image matching.
Interest point detectors stability evaluation on ApolloScape dataset
In the recent years, a number of novel, deep-learning based, interest point detectors, such as LIFT, DELF, Superpoint or LF-Net was proposed.
LandmarkBoost: Efficient Visual Context Classifiers for Robust Localization
We propose LandmarkBoost - an approach that, in contrast to the conventional 2D-3D matching methods, casts the search problem as a landmark classification task.
maplab: An Open Framework for Research in Visual-inertial Mapping and Localization
On the other hand, maplab provides the research community with a collection of multisession mapping tools that include map merging, visual-inertial batch optimization, and loop closure.
Robotics
