Papers Camera Relocalization
“Camera Relocalization” 태그가 달린 논문 59편 · 필터 해제
HARU: Haptic Augmented Reality-Assisted User-Centric Industrial Network Planning
To support Industry 4.0 applications with haptics and human-machine interaction, 6G requires a new framework that is fully autonomous, visual, and interactive. In this paper, we provide an end-to-end solution, HARU, for …
Camera RelocalizationSensor FusionObjects Matter: Learning Object Relation Graph for Robust Camera Relocalization
Visual relocalization aims to estimate the pose of a camera from one or more images. In recent years deep learning based pose regression methods have attracted many attentions. They feature predicting the absolute poses …
Camera RelocalizationregressionRelationS3E-GNN: Sparse Spatial Scene Embedding with Graph Neural Networks for Camera Relocalization
Camera relocalization is the key component of simultaneous localization and mapping (SLAM) systems. This paper proposes a learning-based approach, named Sparse Spatial Scene Embedding with Graph Neural Networks (S3E-GNN)…
Camera RelocalizationSimultaneous Localization and MappingIllumination-Invariant Active Camera Relocalization for Fine-Grained Change Detection in the Wild
Active camera relocalization (ACR) is a new problem in computer vision that significantly reduces the false alarm caused by image distortions due to camera pose misalignment in fine-grained change detection (FGCD). Despi…
Camera RelocalizationChange DetectionPose EstimationDFNet: Enhance Absolute Pose Regression with Direct Feature Matching
We introduce a camera relocalization pipeline that combines absolute pose regression (APR) and direct feature matching. By incorporating exposure-adaptive novel view synthesis, our method successfully addresses photometr…
Camera Pose EstimationCamera RelocalizationNovel View SynthesisPose Estimation+2SceneSqueezer: Learning To Compress Scene for Camera Relocalization
Standard visual localization methods build a priori 3D model of a scene which is used to establish correspondences against the 2D keypoints in a query image. Storing these pre-built 3D scene models can be prohibitive…
Camera RelocalizationImage RegistrationPose EstimationQuantization+1TransCamP: Graph Transformer for 6-DoF Camera Pose Estimation
Camera pose estimation or camera relocalization is the centerpiece in numerous computer vision tasks such as visual odometry, structure from motion (SfM) and SLAM. In this paper we propose a neural network approach with …
Camera Pose EstimationCamera RelocalizationComputational EfficiencyPose Estimation+13D Surfel Map-Aided Visual Relocalization with Learned Descriptors
In this paper, we introduce a method for visual relocalization using the geometric information from a 3D surfel map. A visual database is first built by global indices from the 3D surfel map rendering, which provides ass…
Camera RelocalizationDirect-PoseNet: Absolute Pose Regression with Photometric Consistency
We present a relocalization pipeline, which combines an absolute pose regression (APR) network with a novel view synthesis based direct matching module, offering superior accuracy while maintaining low inference time. Ou…
Camera RelocalizationNovel View SynthesisregressionRadarLoc: Learning to Relocalize in FMCW Radar
Relocalization is a fundamental task in the field of robotics and computer vision. There is considerable work in the field of deep camera relocalization, which directly estimates poses from raw images. However, learning-…
Camera RelocalizationDeep Bingham Networks: Dealing with Uncertainty and Ambiguity in Pose Estimation
In this work, we introduce Deep Bingham Networks (DBN), a generic framework that can naturally handle pose-related uncertainties and ambiguities arising in almost all real life applications concerning 3D data. While exis…
Camera RelocalizationPose EstimationRobust Neural Routing Through Space Partitions for Camera Relocalization in Dynamic Indoor Environments
Localizing the camera in a known indoor environment is a key building block for scene mapping, robot navigation, AR, etc. Recent advances estimate the camera pose via optimization over the 2D/3D-3D correspondences establ…
Camera RelocalizationRobot NavigationScene UnderstandingBeyond Controlled Environments: 3D Camera Re-Localization in Changing Indoor Scenes
Long-term camera re-localization is an important task with numerous computer vision and robotics applications. Whilst various outdoor benchmarks exist that target lighting, weather and seasonal changes, far less attentio…
Camera RelocalizationLearning Multi-View Camera Relocalization With Graph Neural Networks
We propose to construct a view graph to excavate the information of the whole given sequence for absolute camera pose estimation. Specifically, we harness GNNs to model the graph, allowing even non-consecutive frames to …
Camera LocalizationCamera Pose EstimationCamera RelocalizationPose Estimation+16D Camera Relocalization in Ambiguous Scenes via Continuous Multimodal Inference
We present a multimodal camera relocalization framework that captures ambiguities and uncertainties with continuous mixture models defined on the manifold of camera poses. In highly ambiguous environments, which can easi…
Camera LocalizationCamera RelocalizationKFNet: Learning Temporal Camera Relocalization using Kalman Filtering
Temporal camera relocalization estimates the pose with respect to each video frame in sequence, as opposed to one-shot relocalization which focuses on a still image. Even though the time dependency has been taken into ac…
Camera RelocalizationVMLoc: Variational Fusion For Learning-Based Multimodal Camera Localization
Recent learning-based approaches have achieved impressive results in the field of single-shot camera localization. However, how best to fuse multiple modalities (e.g., image and depth) and to deal with degraded or missin…
Camera LocalizationCamera RelocalizationVisual LocalizationDecoupling Features and Coordinates for Few-shot RGB Relocalization
Cross-scene model adaption is crucial for camera relocalization in real scenarios. It is often preferable that a pre-learned model can be fast adapted to a novel scene with as few training samples as possible. The existi…
Camera RelocalizationPose EstimationregressionUnsupervised Collaborative Learning of Keyframe Detection and Visual Odometry Towards Monocular Deep SLAM
In this paper we tackle the joint learning problem of keyframe detection and visual odometry towards monocular visual SLAM systems. As an important task in visual SLAM, keyframe selection helps efficient camera relocaliz…
Camera RelocalizationPose EstimationVisual OdometryLocal Supports Global: Deep Camera Relocalization with Sequence Enhancement
We propose to leverage the local information in image sequences to support global camera relocalization. In contrast to previous methods that regress global poses from single images, we exploit the spatial-temporal consi…
Camera RelocalizationPose EstimationVisual Odometry