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 251–275 of 304 papers

TitleStatusHype
Privacy Preserving Image-Based Localization—0
Zero-Shot Task TransferCode0
Beyond Photometric Loss for Self-Supervised Ego-Motion EstimationCode0
The Alignment of the Spheres: Globally-Optimal Spherical Mixture Alignment for Camera Pose Estimation—0
Indoor GeoNet: Weakly Supervised Hybrid Learning for Depth and Pose Estimation—0
Collaborative Dense SLAMCode1
Cooperative Holistic Scene Understanding: Unifying 3D Object, Layout, and Camera Pose EstimationCode0
Real-Time RGB-D Camera Pose Estimation in Novel Scenes using a Relocalisation CascadeCode0
DGC-Net: Dense Geometric Correspondence NetworkCode0
Camera Pose Estimation from Sequence of Calibrated Images—0
RPNet: an End-to-End Network for Relative Camera Pose EstimationCode0
Performance Analysis and Robustification of Single-query 6-DoF Camera Pose Estimation—0
Digging Into Self-Supervised Monocular Depth EstimationCode1
Rolling Shutter and Radial Distortion Are Features for High Frame Rate Multi-Camera Tracking—0
Camera Pose Estimation With Unknown Principal Point—0
Hybrid Camera Pose Estimation—0
CubeSLAM: Monocular 3D Object SLAMCode1
A fast minimal solver for absolute camera pose with unknown focal length and radial distortion from four planar pointsCode0
DeLS-3D: Deep Localization and Segmentation with a 3D Semantic MapCode0
Position Estimation of Camera Based on Unsupervised Learning—0
Computing CNN Loss and Gradients for Pose Estimation with Riemannian GeometryCode0
GeoNet: Unsupervised Learning of Dense Depth, Optical Flow and Camera PoseCode0
Predicting Out-of-View Feature Points for Model-Based Camera Pose Estimation—0
Generic 3D Representation via Pose Estimation and MatchingCode0
A Line-Point Unified Solution to Relative Camera 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