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 291–300 of 304 papers

Title	Date	Tasks	Status
SGLoc: Semantic Localization System for Camera Pose Estimation from 3D Gaussian Splatting Representation	Jul 16, 2025	3DGSCamera Pose Estimation	CodeCode Available
Hybrid Structure-from-Motion and Camera Relocalization for Enhanced Egocentric Localization	Jul 10, 2024	Camera Pose EstimationCamera Relocalization	CodeCode Available
3D-Aware Ellipse Prediction for Object-Based Camera Pose Estimation	May 24, 2021	Camera Pose EstimationPose Estimation	CodeCode Available
GeoNet: Unsupervised Learning of Dense Depth, Optical Flow and Camera Pose	Mar 6, 2018	Camera Pose EstimationImage Reconstruction	CodeCode Available
Zero-Shot Task Transfer	Mar 4, 2019	Camera Pose EstimationMeta-Learning	CodeCode Available
Generic 3D Representation via Pose Estimation and Matching	Oct 23, 2017	Camera Pose EstimationObject	CodeCode Available
Trifocal Relative Pose from Lines at Points and its Efficient Solution	Mar 23, 2019	Camera Pose EstimationPose Estimation	CodeCode Available
Single camera pose estimation using Bayesian filtering and Kinect motion priors	May 20, 2014	2D Pose EstimationCamera Pose Estimation	CodeCode Available
Beyond Photometric Loss for Self-Supervised Ego-Motion Estimation	Feb 25, 2019	Camera Pose EstimationMotion Estimation	CodeCode Available
DGC-Net: Dense Geometric Correspondence Network	Oct 19, 2018	Camera Pose EstimationDense Pixel Correspondence Estimation	CodeCode Available

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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