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Mar 24, 2024 · Keypoint-Fusion achieves state-of-the-art performance on two challenging hand datasets, significantly decreasing the error compared with ...
We update a demo for running our method in real-world scenes. The results of KeypointFusion on in-the-wild images.
Keypoint Fusion for RGB-D Based 3D Hand Pose Estimation Xingyu Liu, Pengfei ... Depth-Based 3D Hand Pose Estimation Pengfei Ren, Chenyu Chen, Jiachang ...
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Keypoint-Fusion achieves state-of-the-art performance on two challenging hand datasets, significantly decreasing the error compared with previous single-modal ...
It estimates the offset vectors and close- ness scores from points to target keypoints. The point-wise estimations are weighted and summed up to a final 3D pose ...
In this paper, we present a keypoint-based end-to-end framework for 3D hand and pose estimation and successfully apply it to the task of hand gesture ...
In this paper, we present a keypoint-based end-to-end framework for 3D hand and pose estimation and successfully apply it to the task of hand gesture ...
Keypoint Fusion for RGB-D Based 3D Hand Pose Estimation. Proceedings of the AAAI Conference on Artificial Intelligence, 38(4), 3756-3764. https://doi.org ...
Rgb-D Fusion For Point-Cloud-Based 3d Human Pose Estimation
www.semanticscholar.org › paper › Rgb-...
A 2D pose estimator is adopted to extract color features from the RGB image to fully exploit geometric information and a 3D learning module to extract ...