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 281–290 of 304 papers

TitleStatusHype
Long Short-Term Memory Kalman Filters:Recurrent Neural Estimators for Pose Regularization—0
Long-term 3D Localization and Pose from Semantic Labellings—0
Benchmarking 6DOF Outdoor Visual Localization in Changing ConditionsCode0
Discriminative Optimization: Theory and Applications to Computer Vision Problems—0
Unsupervised Learning of Depth and Ego-Motion from VideoCode0
Quaternion Based Camera Pose Estimation From Matched Feature Points—0
Relative Camera Pose Estimation Using Convolutional Neural NetworksCode0
Computing Egomotion with Local Loop Closures for Egocentric Videos—0
SceneNet RGB-D: 5M Photorealistic Images of Synthetic Indoor Trajectories with Ground TruthCode0
Absolute Pose Estimation from Line Correspondences using Direct Linear Transformation—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