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Found 7 papers, 0 papers with code
Two Hands Are Better Than One: Resolving Hand to Hand Intersections via Occupancy Networks
This work addresses the intersection of hands by exploiting an occupancy network that represents the hand's volume as a continuous manifold.
Improving 3D Pose Estimation for Sign Language
Given a 2D detection of keypoints in the image, we lift the skeleton to 3D using neural networks to predict both the joint rotations and bone lengths.
Denoising Diffusion for 3D Hand Pose Estimation from Images
Hand pose estimation from a single image has many applications.
VSAC: Efficient and Accurate Estimator for H and F
Experiments on four standard datasets show that VSAC is significantly faster than all its predecessors and runs on average in 1-2 ms, on a CPU.
USACv20: robust essential, fundamental and homography matrix estimation
We review the most recent RANSAC-like hypothesize-and-verify robust estimators.
MAGSAC++, a fast, reliable and accurate robust estimator
A new method for robust estimation, MAGSAC++, is proposed.
Progressive NAPSAC: sampling from gradually growing neighborhoods
We propose Progressive NAPSAC, P-NAPSAC in short, which merges the advantages of local and global sampling by drawing samples from gradually growing neighborhoods.
