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

Showing 241250 of 304 papers

TitleStatusHype
Unsupervised Scale-consistent Depth and Ego-motion Learning from Monocular VideoCode1
Camera Pose Correction in SLAM Based on Bias Values of Map Points0
Hybrid Camera Pose Estimation with Online Partitioning for SLAM0
Pan-tilt-zoom SLAM for Sports VideosCode0
Introduction to Camera Pose Estimation with Deep Learning0
ACNe: Attentive Context Normalization for Robust Permutation-Equivariant LearningCode0
EKFPnP: Extended Kalman Filter for Camera Pose Estimation in a Sequence of ImagesCode0
FishNet: A Camera Localizer using Deep Recurrent NetworksCode0
Trifocal Relative Pose from Lines at Points and its Efficient SolutionCode0
Understanding the Limitations of CNN-based Absolute Camera Pose RegressionCode0
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Benchmark Results

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