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 221–230 of 304 papers

TitleStatusHype
RUBIK: A Structured Benchmark for Image Matching across Geometric Challenges—0
S3LAM: Structured Scene SLAM—0
Sampling Based Scene-Space Video Processing—0
Scalable Structure From Motion for Densely Sampled Videos—0
Scaling 4D Representations—0
SceneNet RGB-D: Can 5M Synthetic Images Beat Generic ImageNet Pre-Training on Indoor Segmentation?—0
SCENES: Subpixel Correspondence Estimation With Epipolar Supervision—0
Self-supervised Learning of Occlusion Aware Flow Guided 3D Geometry Perception with Adaptive Cross Weighted Loss from Monocular Videos—0
SHAPE: Linear-Time Camera Pose Estimation With Quadratic Error-Decay—0
SiLK: Simple Learned Keypoints—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