3D Rotation Estimation
3 papers with code • 0 benchmarks • 0 datasets
Benchmarks
These leaderboards are used to track progress in 3D Rotation Estimation
Most implemented papers
Spherical Regression: Learning Viewpoints, Surface Normals and 3D Rotations on n-Spheres
leoshine/Spherical_Regression
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CVPR 2019
We observe many continuous output problems in computer vision are naturally contained in closed geometrical manifolds, like the Euler angles in viewpoint estimation or the normals in surface normal estimation.
An Analysis of SVD for Deep Rotation Estimation
google-research/google-research
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NeurIPS 2020
Symmetric orthogonalization via SVD, and closely related procedures, are well-known techniques for projecting matrices onto $O(n)$ or $SO(n)$.
Implicit-PDF: Non-Parametric Representation of Probability Distributions on the Rotation Manifold
google-research/google-research
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Single image pose estimation is a fundamental problem in many vision and robotics tasks, and existing deep learning approaches suffer by not completely modeling and handling: i) uncertainty about the predictions, and ii) symmetric objects with multiple (sometimes infinite) correct poses.
