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 291–300 of 304 papers

TitleStatusHype
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
P3.5P: Pose Estimation With Unknown Focal Length—0
Depth Camera Tracking With Contour Cues—0
Scalable Structure From Motion for Densely Sampled Videos—0
Direct Structure Estimation for 3D Reconstruction—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