Camera Localization
2개 벤치마크 · 논문 130편 · 이 태스크의 논문 보기 →
Benchmarks
Oxford RobotCar Full
Most implemented
DSAC - Differentiable RANSAC for Camera Localization
Neural-Guided RANSAC: Learning Where to Sample Model Hypotheses
Fast and Lightweight Scene Regressor for Camera Relocalization
Back to the Feature: Learning Robust Camera Localization from Pixels to Pose
R2D2: Reliable and Repeatable Detector and Descriptor
Papers
Spotter: Efficient Urban Visual Localization via Geo-Referenced Facade Landmarks in GPS-Degraded Environments
Accurate visual localization on robotic and wearable platforms remains challenging in dense urban environments. Existing methodologies typically rely on GPS for absolute positioning, yet GPS signals frequently degrade in…
Visual LocalizationCamera LocalizationVisual OdometryMeasurement-Calibrated Multi-Camera Fusion for Vision-Based Indoor Localization
Indoor vision-based localization systems are affected by detection noise, occlusions, and limited camera coverage, leading to uncertainty at multiple stages of the pipeline. While multi-camera data fusion is widely used …
Camera LocalizationEmpowering Feed-Forward Reconstruction Models with Metric Scale via Satellite Images
Feed-forward 3D reconstruction models have recently shown strong generalization across diverse scenes, yet most of them recover geometry only up to an unknown global scale. This scale ambiguity limits their use in applic…
Camera Localization3D ReconstructionDepth EstimationImaging Hidden Objects with Consumer LiDAR via Motion Induced Sampling
LiDARs are being increasingly deployed for consumer imaging in handheld, wearable, and robotic applications. These sensors can capture the time-of-flight of light at picosecond resolution, which in principle, enables the…
Multi-Object TrackingCamera Localization3D ReconstructionSky2Ground: A Benchmark for Site Modeling under Varying Altitude
We introduce Sky2Ground, a three-view dataset designed for varying altitude camera localization, correspondence learning, and reconstruction. The dataset combines structured synthetic imagery with real, in-the-wild image…
Camera LocalizationPose EstimationAutomated Assessment of Kidney Ureteroscopy Exploration for Training
Purpose: Kidney ureteroscopic navigation is challenging with a steep learning curve. However, current clinical training has major deficiencies, as it requires one-on-one feedback from experts and occurs in the operating …
Camera Localization