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Camera Relocalization
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"Camera relocalization, or image-based localization is a fundamental problem in robotics and computer vision. It refers to the process of determining camera pose from the visual scene representation and it is essential for many applications such as navigation of autonomous vehicles, structure from motion (SfM), augmented reality (AR) and simultaneous localization and mapping (SLAM)." (Source)
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From Sparse to Dense: Camera Relocalization with Scene-Specific Detector from Feature Gaussian Splatting
Improved 3D Point-Line Mapping Regression for Camera Relocalization
A2-GNN: Angle-Annular GNN for Visual Descriptor-free Camera Relocalization
FaVoR: Features via Voxel Rendering for Camera Relocalization
Differentiable Product Quantization for Memory Efficient Camera Relocalization
Hybrid Structure-from-Motion and Camera Relocalization for Enhanced Egocentric Localization
Camera Relocalization in Shadow-free Neural Radiance Fields
WSCLoc: Weakly-Supervised Sparse-View Camera Relocalization
Representing 3D sparse map points and lines for camera relocalization
HR-APR: APR-agnostic Framework with Uncertainty Estimation and Hierarchical Refinement for Camera Relocalisation
EffLoc: Lightweight Vision Transformer for Efficient 6-DOF Camera Relocalization
Semantic Object-level Modeling for Robust Visual Camera Relocalization
D2S: Representing sparse descriptors and 3D coordinates for camera relocalization
CROSSFIRE: Camera Relocalization On Self-Supervised Features from an Implicit Representation
Fast and Lightweight Scene Regressor for Camera Relocalization
RobustLoc: Robust Camera Pose Regression in Challenging Driving Environments
Graph Attention Network for Camera Relocalization on Dynamic Scenes
OA-SLAM: Leveraging Objects for Camera Relocalization in Visual SLAM
6D Camera Relocalization in Visually Ambiguous Extreme Environments
HARU: Haptic Augmented Reality-Assisted User-Centric Industrial Network Planning
Objects Matter: Learning Object Relation Graph for Robust Camera Relocalization
S3E-GNN: Sparse Spatial Scene Embedding with Graph Neural Networks for Camera Relocalization
Illumination-Invariant Active Camera Relocalization for Fine-Grained Change Detection in the Wild
DFNet: Enhance Absolute Pose Regression with Direct Feature Matching
TransCamP: Graph Transformer for 6-DoF Camera Pose Estimation
3D Surfel Map-Aided Visual Relocalization with Learned Descriptors
Direct-PoseNet: Absolute Pose Regression with Photometric Consistency
RadarLoc: Learning to Relocalize in FMCW Radar
Deep Bingham Networks: Dealing with Uncertainty and Ambiguity in Pose Estimation
Robust Neural Routing Through Space Partitions for Camera Relocalization in Dynamic Indoor Environments
Beyond Controlled Environments: 3D Camera Re-Localization in Changing Indoor Scenes
6D Camera Relocalization in Ambiguous Scenes via Continuous Multimodal Inference
KFNet: Learning Temporal Camera Relocalization using Kalman Filtering
VMLoc: Variational Fusion For Learning-Based Multimodal Camera Localization
Decoupling Features and Coordinates for Few-shot RGB Relocalization
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.