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
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Introduction on Hand Pose Estimation From Depth Sensor Using Kernel Correlation

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Key Details

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Recent Updates

Information Back-Hand-Pose: 3D Hand Pose Estimation for a Wrist-worn Camera via Dorsum Deformation Network News
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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
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)
Hand Pose Estimation Guided Combined Optimisation
Hand Pose Estimation Guided Combined Optimisation
Hand Pose Estimation by Single TOF Depth Camera
Hand Pose Estimation by Single TOF 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
Hand Keypoints Estimation with Ultralytics YOLO11 | Human Hand Pose Estimation Tutorial
Hand Keypoints Estimation with Ultralytics YOLO11 | Human Hand Pose Estimation Tutorial
Human Pose Estimation using Gaussian Kernel Correlation
Human Pose Estimation using Gaussian Kernel Correlation
(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
Learning Correlation-aware Aleatoric Uncertainty for 3D Hand Pose Estimation (BMVC'2025)
Learning Correlation-aware Aleatoric Uncertainty for 3D Hand Pose Estimation (BMVC'2025)

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Last Updated: October 1, 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 ... 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 The British Machine Vision Conference (BMVC) 2025 [Paper] Learning

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