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

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 251–300 of 304 papers

TitleStatusHype
FishNet: A Camera Localizer using Deep Recurrent NetworksCode0
Trifocal Relative Pose from Lines at Points and its Efficient SolutionCode0
Understanding the Limitations of CNN-based Absolute Camera Pose RegressionCode0
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
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
Hybrid Camera Pose Estimation—0
Rolling Shutter and Radial Distortion Are Features for High Frame Rate Multi-Camera Tracking—0
Camera Pose Estimation With Unknown Principal Point—0
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
SceneNet RGB-D: Can 5M Synthetic Images Beat Generic ImageNet Pre-Training on Indoor Segmentation?—0
Refractive Structure-From-Motion Through a Flat Refractive Interface—0
Long Short-Term Memory Kalman Filters: Recurrent Neural Estimators for Pose Regularization—0
Globally-Optimal Inlier Set Maximisation for Simultaneous Camera Pose and Feature Correspondence—0
Joint Estimation of Camera Pose, Depth, Deblurring, and Super-Resolution from a Blurred Image Sequence—0
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
Camera Pose Estimation from Lines using Plücker Coordinates—0
Single Image Camera Calibration With Lenticular Arrays for Augmented Reality—0
SHAPE: Linear-Time Camera Pose Estimation With Quadratic Error-Decay—0
Towards the Application of Linear Programming Methods For Multi-Camera Pose Estimation—0
Camera Pose Voting for Large-Scale Image-Based Localization—0
Depth Extraction from Videos Using Geometric Context and Occlusion Boundaries—0
Direct Structure Estimation for 3D Reconstruction—0
Depth Camera Tracking With Contour Cues—0
P3.5P: Pose Estimation With Unknown Focal Length—0
Scalable Structure From Motion for Densely Sampled Videos—0
Show:102550
← PrevPage 6 of 7Next →

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