Hand Pose Estimation From Depth Sensor Using Kernel Correlation Information Guide

  1. Introduction on Hand Pose Estimation From Depth Sensor Using Kernel Correlation
  2. Key Details
  3. Recent Updates
  4. Detailed Analysis
  5. Future Outlook

Introduction on Hand Pose Estimation From Depth Sensor Using Kernel Correlation

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Key Details

Information Learning Correlation-aware Aleatoric Uncertainty for 3D Hand Pose Estimation (BMVC'2025) Update
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Recent Updates

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TouchPose: Hand Pose Prediction, Depth Estimation, and Touch Classification from Capacitive Images
TouchPose: Hand Pose Prediction, Depth Estimation, and Touch Classification from Capacitive Images
Hand Pose Estimation (C++/Python)
Hand Pose Estimation (C++/Python)
Real-time Hand Pose Estimation
Real-time Hand Pose Estimation
Human Pose Estimation using Kernel Correlation
Human Pose Estimation using Kernel Correlation
Robust Hand Pose Regression Using Deep Learning
Robust Hand Pose Regression Using Deep Learning
Hand Pose Estimation Guided Combined Optimisation
Hand Pose Estimation Guided Combined Optimisation
Back-Hand-Pose: 3D Hand Pose Estimation for a Wrist-worn Camera via Dorsum Deformation Network
Back-Hand-Pose: 3D Hand Pose Estimation for a Wrist-worn Camera via Dorsum Deformation Network
(CVPR 2016) DeepHand: Robust Hand Pose Estimation by Completing a Matrix Imputed with Deep Features
(CVPR 2016) DeepHand: Robust Hand Pose Estimation by Completing a Matrix Imputed with Deep Features
Hand Pose Estimation by Single TOF Depth Camera
Hand Pose Estimation by Single TOF Depth Camera
Human Pose Estimation using Gaussian Kernel Correlation
Human Pose Estimation using Gaussian Kernel Correlation
Hand3D: Hand Pose Estimation using 3D Neural Network
Hand3D: Hand Pose Estimation using 3D Neural Network

Detailed Analysis

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Last Updated: October 21, 2026

Future Outlook

Information Back-Hand-Pose: 3D Hand Pose Estimation for a Wrist-worn Camera via Dorsum Deformation Network News
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Summary

This work has been published in IEEE Transactions on Image Processing (TIP), Feb 2016. More details can be found in ... The British Machine Vision Conference (BMVC) 2025 [Paper] Learning The automatic recognition of how people 2-6 fps right now. Studying the model to see how to achieve faster tracking. Convolutional krejov.com Randomised Decision Forests are trained DeepHand is a new method of recreating the project page: idengxm.com/hand3d/index.html.

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