Camera Localization
38 papers with code • 2 benchmarks • 4 datasets
Latest papers with no code
High-fidelity Endoscopic Image Synthesis by Utilizing Depth-guided Neural Surfaces
In surgical oncology, screening colonoscopy plays a pivotal role in providing diagnostic assistance, such as biopsy, and facilitating surgical navigation, particularly in polyp detection.
Learning Neural Volumetric Pose Features for Camera Localization
We introduce a novel neural volumetric pose feature, termed PoseMap, designed to enhance camera localization by encapsulating the information between images and the associated camera poses.
Residual Learning for Image Point Descriptors
Such an approach of optimization allows us to discard learning knowledge already present in non-differentiable functions such as the hand-crafted descriptors and only learn the residual knowledge in the main network branch.
CaLDiff: Camera Localization in NeRF via Pose Diffusion
This paper studies the problem of localizing cameras in NeRF using a diffusion model for camera pose adjustment.
3DS-SLAM: A 3D Object Detection based Semantic SLAM towards Dynamic Indoor Environments
We designed a 3D part-aware hybrid transformer for point cloud-based object detection to identify dynamic objects.
Learning Dense Flow Field for Highly-accurate Cross-view Camera Localization
We propose a novel end-to-end approach that leverages the learning of dense pixel-wise flow fields in pairs of ground and satellite images to calculate the camera pose.
DynaMoN: Motion-Aware Fast and Robust Camera Localization for Dynamic Neural Radiance Fields
The accurate reconstruction of dynamic scenes with neural radiance fields is significantly dependent on the estimation of camera poses.
PAg-NeRF: Towards fast and efficient end-to-end panoptic 3D representations for agricultural robotics
In this work we present PAg-NeRF which is a novel NeRF-based system that enables 3D panoptic scene understanding.
SGL: Structure Guidance Learning for Camera Localization
Camera localization is a classical computer vision task that serves various Artificial Intelligence and Robotics applications.
Visual Perception System for Autonomous Driving
The recent surge in interest in autonomous driving stems from its rapidly developing capacity to enhance safety, efficiency, and convenience.