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 Added Most Hyped Most Active Needs Verification Most Verified

Showing 191–200 of 304 papers

Title	Date	Tasks	Status	Hype
Soft Expectation and Deep Maximization for Image Feature Detection	Apr 21, 2021	3D ReconstructionCamera Pose Estimation	CodeCode Available	0
Fusing the Old with the New: Learning Relative Camera Pose with Geometry-Guided Uncertainty	Apr 16, 2021	Camera Pose EstimationGraph Neural Network	—Unverified	0
LoFTR: Detector-Free Local Feature Matching with Transformers	Apr 1, 2021	Camera Pose EstimationImage Matching	CodeCode Available	1
ManhattanSLAM: Robust Planar Tracking and Mapping Leveraging Mixture of Manhattan Frames	Mar 28, 2021	Camera Pose EstimationCPU	CodeCode Available	1
Pose-GNN : Camera Pose Estimation System Using Graph Neural Networks	Mar 17, 2021	Camera Pose EstimationImage-Based Localization	—Unverified	0
Back to the Feature: Learning Robust Camera Localization from Pixels to Pose	Mar 16, 2021	3D geometryCamera Localization	CodeCode Available	1
Simultaneous Multi-View Camera Pose Estimation and Object Tracking with Square Planar Markers	Mar 16, 2021	Camera Pose EstimationObject	CodeCode Available	1
Neural Reprojection Error: Merging Feature Learning and Camera Pose Estimation	Mar 12, 2021	3D geometryCamera Pose Estimation	CodeCode Available	1
How Privacy-Preserving are Line Clouds? Recovering Scene Details from 3D Lines	Mar 8, 2021	Camera Pose EstimationPose Estimation	CodeCode Available	1
Self-supervised Geometric Perception	Mar 4, 2021	Camera Pose EstimationPoint Cloud Registration	CodeCode Available	1

Show:10 25 50

← PrevPage 20 of 31Next →

Benchmark Results

#	Model	Metric	Claimed	Verified	Status
1	Monodepth2	Average Translational Error et[%]	43.21	—	Unverified
2	SfMLearner	Average Translational Error et[%]	29.78	—	Unverified
3	GeoNet	Average Translational Error et[%]	26.31	—	Unverified
4	SC-Depth	Average Translational Error et[%]	12.2	—	Unverified
5	DeepMatchVO	Average Translational Error et[%]	11.05	—	Unverified
6	SCIPaD	Average Translational Error et[%]	8.63	—	Unverified
7	Manydepth2	Average Translational Error et[%]	7.15	—	Unverified