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 151–160 of 304 papers

TitleStatusHype
Virtual Correspondence: Humans as a Cue for Extreme-View Geometry—0
Self-Supervised Learning of Image Scale and OrientationCode1
Unsupervised Learning of 3D Scene Flow from Monocular CameraCode0
PixSelect: Less but Reliable Pixels for Accurate and Efficient Localization—0
Nerfels: Renderable Neural Codes for Improved Camera Pose Estimation—0
Investigating the Role of Image Retrieval for Visual Localization -- An exhaustive benchmarkCode2
Unsupervised Learning of Depth, Camera Pose and Optical Flow from Monocular Video—0
FvOR: Robust Joint Shape and Pose Optimization for Few-view Object ReconstructionCode1
End2End Multi-View Feature Matching with Differentiable Pose Optimization—0
BronchoPose: an analysis of data and model configuration for vision-based bronchoscopy 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