Papers Camera Relocalization
“Camera Relocalization” 태그가 달린 논문 59편 · 필터 해제
HAL-NeRF: High Accuracy Localization Leveraging Neural Radiance Fields
Precise camera localization is a critical task in XR applications and robotics. Using only the camera captures as input to a system is an inexpensive option that enables localization in large indoor and outdoor environme…
Camera LocalizationCamera RelocalizationNeRFTranslationFrom Sparse to Dense: Camera Relocalization with Scene-Specific Detector from Feature Gaussian Splatting
This paper presents a novel camera relocalization method, STDLoc, which leverages Feature Gaussian as scene representation. STDLoc is a full relocalization pipeline that can achieve accurate relocalization without relyin…
Camera RelocalizationImage RetrievalPose EstimationImproved 3D Point-Line Mapping Regression for Camera Relocalization
In this paper, we present a new approach for improving 3D point and line mapping regression for camera re-localization. Previous methods typically rely on feature matching (FM) with stored descriptors or use a single net…
Camera RelocalizationregressionA2-GNN: Angle-Annular GNN for Visual Descriptor-free Camera Relocalization
Visual localization involves estimating the 6-degree-of-freedom (6-DoF) camera pose within a known scene. A critical step in this process is identifying pixel-to-point correspondences between 2D query images and 3D model…
Camera RelocalizationGraph Neural NetworkVisual LocalizationFaVoR: Features via Voxel Rendering for Camera Relocalization
Camera relocalization methods range from dense image alignment to direct camera pose regression from a query image. Among these, sparse feature matching stands out as an efficient, versatile, and generally lightweight ap…
Camera RelocalizationDifferentiable Product Quantization for Memory Efficient Camera Relocalization
Camera relocalization relies on 3D models of the scene with a large memory footprint that is incompatible with the memory budget of several applications. One solution to reduce the scene memory size is map compression by…
Camera RelocalizationQuantizationHybrid Structure-from-Motion and Camera Relocalization for Enhanced Egocentric Localization
We built our pipeline EgoLoc-v1, mainly inspired by EgoLoc. We propose a model ensemble strategy to improve the camera pose estimation part of the VQ3D task, which has been proven to be essential in previous work. The co…
Camera Pose EstimationCamera RelocalizationPose EstimationCamera Relocalization in Shadow-free Neural Radiance Fields
Camera relocalization is a crucial problem in computer vision and robotics. Recent advancements in neural radiance fields (NeRFs) have shown promise in synthesizing photo-realistic images. Several works have utilized NeR…
Camera RelocalizationNeRFWSCLoc: Weakly-Supervised Sparse-View Camera Relocalization
Despite the advancements in deep learning for camera relocalization tasks, obtaining ground truth pose labels required for the training process remains a costly endeavor. While current weakly supervised methods excel in …
Camera RelocalizationImage ReconstructionNeRFPose EstimationRepresenting 3D sparse map points and lines for camera relocalization
Recent advancements in visual localization and mapping have demonstrated considerable success in integrating point and line features. However, expanding the localization framework to include additional mapping components…
Camera RelocalizationIndoor LocalizationOutdoor LocalizationVisual LocalizationHR-APR: APR-agnostic Framework with Uncertainty Estimation and Hierarchical Refinement for Camera Relocalisation
Absolute Pose Regressors (APRs) directly estimate camera poses from monocular images, but their accuracy is unstable for different queries. Uncertainty-aware APRs provide uncertainty information on the estimated pose, al…
Camera RelocalizationEffLoc: Lightweight Vision Transformer for Efficient 6-DOF Camera Relocalization
Camera relocalization is pivotal in computer vision, with applications in AR, drones, robotics, and autonomous driving. It estimates 3D camera position and orientation (6-DoF) from images. Unlike traditional methods like…
Autonomous DrivingCamera RelocalizationComputational EfficiencyPose Estimation+1Semantic Object-level Modeling for Robust Visual Camera Relocalization
Visual relocalization is crucial for autonomous visual localization and navigation of mobile robotics. Due to the improvement of CNN-based object detection algorithm, the robustness of visual relocalization is greatly en…
Camera RelocalizationObjectobject-detectionObject Detection+1D2S: Representing sparse descriptors and 3D coordinates for camera relocalization
State-of-the-art visual localization methods mostly rely on complex procedures to match local descriptors and 3D point clouds. However, these procedures can incur significant costs in terms of inference, storage, and upd…
Camera RelocalizationGraph AttentionVisual LocalizationCROSSFIRE: Camera Relocalization On Self-Supervised Features from an Implicit Representation
Beyond novel view synthesis, Neural Radiance Fields are useful for applications that interact with the real world. In this paper, we use them as an implicit map of a given scene and propose a camera relocalization algori…
Camera RelocalizationNovel View SynthesisPositionFast and Lightweight Scene Regressor for Camera Relocalization
Camera relocalization involving a prior 3D reconstruction plays a crucial role in many mixed reality and robotics applications. Estimating the camera pose directly with respect to pre-built 3D models can be prohibitively…
3D ReconstructionCamera LocalizationCamera RelocalizationMixed Reality+1RobustLoc: Robust Camera Pose Regression in Challenging Driving Environments
Camera relocalization has various applications in autonomous driving. Previous camera pose regression models consider only ideal scenarios where there is little environmental perturbation. To deal with challenging drivin…
Autonomous Drivingcamera absolute pose regressionCamera LocalizationCamera Relocalization+3Graph Attention Network for Camera Relocalization on Dynamic Scenes
We devise a graph attention network-based approach for learning a scene triangle mesh representation in order to estimate an image camera position in a dynamic environment. Previous approaches built a scene-dependent mod…
Camera RelocalizationGraph AttentionGraph Neural NetworkOA-SLAM: Leveraging Objects for Camera Relocalization in Visual SLAM
In this work, we explore the use of objects in Simultaneous Localization and Mapping in unseen worlds and propose an object-aided system (OA-SLAM). More precisely, we show that, compared to low-level points, the major be…
Camera RelocalizationObjectPose TrackingSimultaneous Localization and Mapping6D Camera Relocalization in Visually Ambiguous Extreme Environments
We propose a novel method to reliably estimate the pose of a camera given a sequence of images acquired in extreme environments such as deep seas or extraterrestrial terrains. Data acquired under these challenging condit…
Camera RelocalizationImage Enhancement