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
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Introduction on Hand Pose Estimation From Depth Sensor Using Kernel Correlation

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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
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
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
Hand Pose Estimation (C++/Python)
Hand Pose Estimation (C++/Python)
Human Pose Estimation from a Single Depth Sensor (Published in WACV 2015)
Human Pose Estimation from a Single Depth Sensor (Published in WACV 2015)
GHand: A GPU algorithm for realtime hand pose estimation using depth camera
GHand: A GPU algorithm for realtime hand pose estimation using depth camera
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
3D Human Hand Pose Estimation
3D Human Hand Pose Estimation
TouchPose: Hand Pose Prediction, Depth Estimation, and Touch Classification from Capacitive Images
TouchPose: Hand Pose Prediction, Depth Estimation, and Touch Classification from Capacitive Images

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Last Updated: October 2, 2026

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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 ... 2-6 fps right now. Studying the model to see how to achieve faster tracking. Convolutional The automatic recognition of how people By: Ashwin Nanjappa, Chi Xu, Li Cheng, Bioinformatics Institute, A*STAR, Singapore Presented at: EuroGraphics 2015.

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