SOTAVerified

Camera Pose Estimation

Camera pose estimation is a crucial task in computer vision and robotics that involves determining the position and orientation (pose) of a camera relative to a given reference frame. This task is essential for various applications, such as augmented reality, 3D reconstruction, SLAM, and autonomous navigation.

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 291–300 of 304 papers

TitleStatusHype
Reassessing the Limitations of CNN Methods for Camera Pose Regression—0
Refractive Structure-From-Motion Through a Flat Refractive Interface—0
Regist3R: Incremental Registration with Stereo Foundation Model—0
RelMobNet: End-to-end relative camera pose estimation using a robust two-stage training—0
RGBD Objects in the Wild: Scaling Real-World 3D Object Learning from RGB-D Videos—0
RGB-Only Gaussian Splatting SLAM for Unbounded Outdoor Scenes—0
Robot Hand-Eye Calibration using Structure-from-Motion—0
Robustifying the Multi-Scale Representation of Neural Radiance Fields—0
Rolling Shutter and Radial Distortion Are Features for High Frame Rate Multi-Camera Tracking—0
RUBIK: A Structured Benchmark for Image Matching across Geometric Challenges—0
Show:102550
← PrevPage 30 of 31Next →

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1Monodepth2Average Translational Error et[%]43.21—Unverified
2SfMLearnerAverage Translational Error et[%]29.78—Unverified
3GeoNetAverage Translational Error et[%]26.31—Unverified
4SC-DepthAverage Translational Error et[%]12.2—Unverified
5DeepMatchVOAverage Translational Error et[%]11.05—Unverified
6SCIPaDAverage Translational Error et[%]8.63—Unverified
7Manydepth2Average Translational Error et[%]7.15—Unverified