Hand Pose Estimation From Depth Sensor Using Kernel Correlation

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Introduction on Hand Pose Estimation From Depth Sensor Using Kernel Correlation
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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

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

Real-time Hand Pose Estimation

Hand Pose Estimation by Single TOF Depth Camera

Hand Pose Estimation (C++/Python)

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

Robust Hand Pose Regression Using Deep Learning

TouchPose: Hand Pose Prediction, Depth Estimation, and Touch Classification from Capacitive Images

(CVPR 2016) DeepHand: Robust Hand Pose Estimation by Completing a Matrix Imputed with Deep Features

Human Pose Estimation using Gaussian Kernel Correlation

Hand Pose Estimation Guided Combined Optimisation

GHand: A GPU algorithm for realtime hand pose estimation using depth camera

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Last Updated: October 21, 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 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 DeepHand is a new method of recreating the krejov.com Randomised Decision Forests are trained By: Ashwin Nanjappa, Chi Xu, Li Cheng, Bioinformatics Institute, A*STAR, Singapore Presented at: EuroGraphics 2015.

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