Papers Camera Localization
“Camera Localization” 태그가 달린 논문 130편 · 필터 해제
PEnG: Pose-Enhanced Geo-Localisation
Cross-view Geo-localisation is typically performed at a coarse granularity, because densely sampled satellite image patches overlap heavily. This heavy overlap would make disambiguating patches very challenging. However,…
Camera LocalizationCross-View Geo-Localisationgeo-localizationImage Retrieval+6PG-SLAM: Photo-realistic and Geometry-aware RGB-D SLAM in Dynamic Environments
Simultaneous localization and mapping (SLAM) has achieved impressive performance in static environments. However, SLAM in dynamic environments remains an open question. Many methods directly filter out dynamic objects, r…
Camera LocalizationSimultaneous Localization and MappingMBA-SLAM: Motion Blur Aware Dense Visual SLAM with Radiance Fields Representation
Emerging 3D scene representations, such as Neural Radiance Fields (NeRF) and 3D Gaussian Splatting (3DGS), have demonstrated their effectiveness in Simultaneous Localization and Mapping (SLAM) for photo-realistic renderi…
3DGSCamera LocalizationNeRFSimultaneous Localization and MappingLeveraging Semantic Cues from Foundation Vision Models for Enhanced Local Feature Correspondence
Visual correspondence is a crucial step in key computer vision tasks, including camera localization, image registration, and structure from motion. The most effective techniques for matching keypoints currently involve u…
Camera LocalizationImage RegistrationMonocular Visual Place Recognition in LiDAR Maps via Cross-Modal State Space Model and Multi-View Matching
Achieving monocular camera localization within pre-built LiDAR maps can bypass the simultaneous mapping process of visual SLAM systems, potentially reducing the computational overhead of autonomous localization. To this …
Camera LocalizationContrastive LearningCross-modal place recognitionVisual Place RecognitionSpaGBOL: Spatial-Graph-Based Orientated Localisation
Cross-View Geo-Localisation within urban regions is challenging in part due to the lack of geo-spatial structuring within current datasets and techniques. We propose utilising graph representations to model sequences of …
Camera LocalizationCross-View Geo-Localisationgeo-localizationImage-Based Localization+5Towards Global Localization using Multi-Modal Object-Instance Re-Identification
Re-identification (ReID) is a critical challenge in computer vision, predominantly studied in the context of pedestrians and vehicles. However, robust object-instance ReID, which has significant implications for tasks su…
Camera LocalizationObjectScene UnderstandingWeakly-supervised Camera Localization by Ground-to-satellite Image Registration
The ground-to-satellite image matching/retrieval was initially proposed for city-scale ground camera localization. This work addresses the problem of improving camera pose accuracy by ground-to-satellite image matching a…
Camera LocalizationContrastive LearningImage RegistrationRetrieval+1EgoHDM: An Online Egocentric-Inertial Human Motion Capture, Localization, and Dense Mapping System
We present EgoHDM, an online egocentric-inertial human motion capture (mocap), localization, and dense mapping system. Our system uses 6 inertial measurement units (IMUs) and a commodity head-mounted RGB camera. EgoHDM i…
3D Scene ReconstructionCamera LocalizationMotion EstimationCMR-Agent: Learning a Cross-Modal Agent for Iterative Image-to-Point Cloud Registration
Image-to-point cloud registration aims to determine the relative camera pose of an RGB image with respect to a point cloud. It plays an important role in camera localization within pre-built LiDAR maps. Despite the modal…
Camera LocalizationImage to Point Cloud RegistrationImitation LearningPoint Cloud Registration360 in the Wild: Dataset for Depth Prediction and View Synthesis
The large abundance of perspective camera datasets facilitated the emergence of novel learning-based strategies for various tasks, such as camera localization, single image depth estimation, or view synthesis. However, p…
Camera LocalizationDepth EstimationDepth PredictionView-Invariant Pixelwise Anomaly Detection in Multi-object Scenes with Adaptive View Synthesis
The built environment, encompassing critical infrastructure such as bridges and buildings, requires diligent monitoring of unexpected anomalies or deviations from a normal state in captured imagery. Anomaly detection met…
Anomaly DetectionAnomaly LocalizationCamera LocalizationData Augmentation+3High-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. Computer-assisted endoscopic sur…
Camera LocalizationDepth EstimationDiagnosticImage Generation+4SPVLoc: Semantic Panoramic Viewport Matching for 6D Camera Localization in Unseen Environments
In this paper, we present SPVLoc, a global indoor localization method that accurately determines the six-dimensional (6D) camera pose of a query image and requires minimal scene-specific prior knowledge and no scene-spec…
6D Pose EstimationCamera LocalizationIndoor LocalizationIndoor Localization (3-DoF Pose: X, Y, Yaw)+2Learning 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. Our framework leverages an Abs…
Camera LocalizationNeRFImproved Scene Landmark Detection for Camera Localization
Camera localization methods based on retrieval, local feature matching, and 3D structure-based pose estimation are accurate but require high storage, are slow, and are not privacy-preserving. A method based on scene land…
Camera LocalizationPose EstimationPrivacy PreservingSemanticSLAM: Learning based Semantic Map Construction and Robust Camera Localization
Current techniques in Visual Simultaneous Localization and Mapping (VSLAM) estimate camera displacement by comparing image features of consecutive scenes. These algorithms depend on scene continuity, hence requires frequ…
Camera LocalizationPose EstimationRobot NavigationSimultaneous Localization and MappingEfficient Privacy-Preserving Visual Localization Using 3D Ray Clouds
The recent success in revealing scene details from sparse 3D point clouds obtained via structure-from-motion has raised significant privacy concerns in visual localization. One prominent approach for mitigating this …
Camera LocalizationPose EstimationPrivacy PreservingVisual LocalizationResidual Learning for Image Point Descriptors
Local image feature descriptors have had a tremendous impact on the development and application of computer vision methods. It is therefore unsurprising that significant efforts are being made for learning-based image po…
Camera LocalizationEnsemble LearningBEV-CV: Birds-Eye-View Transform for Cross-View Geo-Localisation
Cross-view image matching for geo-localisation is a challenging problem due to the significant visual difference between aerial and ground-level viewpoints. The method provides localisation capabilities from geo-referenc…
Camera LocalizationCross-View Geo-Localisationgeo-localizationImage-Based Localization+5