Camera Localization
39 papers with code • 2 benchmarks • 4 datasets
Latest papers with no code
Monocular Camera Localization for Automated Vehicles Using Image Retrieval
The result is a simple, real-time localization method using an image retrieval method whose performance is comparable to other monocular camera localization methods which use a map built with LiDARs.
DistillPose: Lightweight Camera Localization Using Auxiliary Learning
A siamese convolutional neural network regresses the relative pose from the nearest neighboring database image to the query image.
Uncertainty-Aware Camera Pose Estimation from Points and Lines
The new PnP(L) methods outperform the state-of-the-art on real data in isolation, showing an increase in mean translation accuracy by 18% on a representative subset of KITTI, while the new uncertain refinement improves pose accuracy for most of the solvers, e. g. decreasing mean translation error for the EPnP by 16% compared to the standard refinement on the same dataset.
Video-Based Camera Localization Using Anchor View Detection and Recursive 3D Reconstruction
In this paper we introduce a new camera localization strategy designed for image sequences captured in challenging industrial situations such as industrial parts inspection.
Deep auxiliary learning for visual localization using colorization task
Meanwhile an attention mechanism is introduced for the benefit of localization performance.
End-to-end learning of keypoint detection and matching for relative pose estimation
We demonstrate our method for the task of visual localization of a query image within a database of images with known pose.
CoordiNet: uncertainty-aware pose regressor for reliable vehicle localization
In this setup, structure-based methods require a large database, and we show that our proposal is a reliable alternative, achieving 29cm median error in a 1. 9km loop in a busy urban area
Motion-based Camera Localization System in Colonoscopy Videos
In this study, we propose a camera localization system to estimate the relative location of the camera and classify the colon into anatomical segments.
Co-Attention for Conditioned Image Matching
We propose a new approach to determine correspondences between image pairs in the wild under large changes in illumination, viewpoint, context, and material.
PoseGAN: A Pose-to-Image Translation Framework for Camera Localization
We present PoseGANs, a conditional generative adversarial networks (cGANs) based framework for the implementation of pose-to-image translation.