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

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Showing 171–180 of 304 papers

TitleStatusHype
How to improve CNN-based 6-DoF camera pose estimation—0
E^3NeRF: Efficient Event-Enhanced Neural Radiance Fields from Blurry Images—0
4DTAM: Non-Rigid Tracking and Mapping via Dynamic Surface Gaussians—0
Absolute Pose Estimation from Line Correspondences using Direct Linear Transformation—0
AC3D: Analyzing and Improving 3D Camera Control in Video Diffusion Transformers—0
Accelerating Globally Optimal Consensus Maximization in Geometric Vision—0
Accurate Localization and Pose Estimation for Large 3D Models—0
A Constrained Optimization Approach for Gaussian Splatting from Coarsely-posed Images and Noisy Lidar Point Clouds—0
A Critical Analysis of Image-based Camera Pose Estimation Techniques—0
ADen: Adaptive Density Representations for Sparse-view Camera Pose Estimation—0
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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