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 81–90 of 304 papers

TitleStatusHype
Towards Accurate Active Camera LocalizationCode1
Benchmarking Image Retrieval for Visual LocalizationCode1
P1AC: Revisiting Absolute Pose From a Single Affine CorrespondenceCode1
CaSPR: Learning Canonical Spatiotemporal Point Cloud RepresentationsCode1
Event-based Stereo Visual OdometryCode1
Deep Keypoint-Based Camera Pose Estimation with Geometric ConstraintsCode1
Height and Uprightness Invariance for 3D Prediction From a Single ViewCode1
Why Having 10,000 Parameters in Your Camera Model Is Better Than TwelveCode1
Vid2Curve: Simultaneous Camera Motion Estimation and Thin Structure Reconstruction from an RGB VideoCode1
Why Having 10,000 Parameters in Your Camera Model is Better Than TwelveCode1
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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