Jul 27, 2021 · We propose a stable, accurate and fast enough method to estimate motion parameters from given 3D hand joint positions.
This paper investigates the estimate of motion parameters from 3D hand joint positions. We formulate the issue as an inverse kinematics problem with ...
Duration: 14:10
Posted: Aug 2, 2021
Posted: Aug 2, 2021
To this end, we propose a set of biomechanically inspired constraints (BMC) which can be integrated in the training of neural networks to enable anatomically.
Hinge joint (left) and saddle joint (right) - ResearchGate
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This paper investigates the estimate of motion parameters from 3D hand joint positions. We formulate the issue as an inverse kinematics problem with ...
A method for hand 3D reconstruction using a monocular camera to acquire hand shape and posture was proposed.
Learning to Estimate 3D Hand Pose from Single RGB Images. · Real-time Hand Tracking under Occlusion from an Egocentric RGB-D Sensor. · Robust Hand Pose Estimation ...
A general algorithm called ISOSOM is proposed for nonlinear dimension reduction, applied to 3D hand pose reconstruction to establish the mapping relationships ...
Feb 27, 2024 · We propose a robust and accurate method for reconstructing 3D hand mesh from monocular images. This is a very challenging problem, as hands are ...
We present HiFiHR, a high-fidelity hand reconstruction ap- proach that utilizes render-and-compare in the learning-based framework from a single image, capable ...