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Hand Pose Estimation

21 papers with code · Computer Vision
Subtask of Hand · Pose Estimation

Hand pose estimation is the task of finding the joints of the hand from an image or set of video frames.

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Learning from Simulated and Unsupervised Images through Adversarial Training

CVPR 2017 tensorflow/models

With recent progress in graphics, it has become more tractable to train models on synthetic images, potentially avoiding the need for expensive annotations.

DOMAIN ADAPTATION GAZE ESTIMATION HAND POSE ESTIMATION IMAGE-TO-IMAGE TRANSLATION

Learning to Estimate 3D Hand Pose from Single RGB Images

ICCV 2017 lmb-freiburg/hand3d

Low-cost consumer depth cameras and deep learning have enabled reasonable 3D hand pose estimation from single depth images.

HAND POSE ESTIMATION SIGN LANGUAGE RECOGNITION

Depth-Based 3D Hand Pose Estimation: From Current Achievements to Future Goals

CVPR 2018 mks0601/V2V-PoseNet_RELEASE

Official Torch7 implementation of "V2V-PoseNet: Voxel-to-Voxel Prediction Network for Accurate 3D Hand and Human Pose Estimation from a Single Depth Map", CVPR 2018

3D POSE ESTIMATION HAND POSE ESTIMATION

V2V-PoseNet: Voxel-to-Voxel Prediction Network for Accurate 3D Hand and Human Pose Estimation from a Single Depth Map

CVPR 2018 mks0601/V2V-PoseNet_RELEASE

To overcome these weaknesses, we firstly cast the 3D hand and human pose estimation problem from a single depth map into a voxel-to-voxel prediction that uses a 3D voxelized grid and estimates the per-voxel likelihood for each keypoint.

3D HUMAN POSE ESTIMATION HAND POSE ESTIMATION

DeepPrior++: Improving Fast and Accurate 3D Hand Pose Estimation

28 Aug 2017mks0601/V2V-PoseNet_RELEASE

DeepPrior is a simple approach based on Deep Learning that predicts the joint 3D locations of a hand given a depth map.

DATA AUGMENTATION HAND POSE ESTIMATION

3D Hand Shape and Pose Estimation From a Single RGB Image

CVPR 2019 3d-hand-shape/hand-graph-cnn

This work addresses a novel and challenging problem of estimating the full 3D hand shape and pose from a single RGB image.

HAND POSE ESTIMATION

Dense 3D Regression for Hand Pose Estimation

CVPR 2018 melonwan/denseReg

Specifically, we decompose the pose parameters into a set of per-pixel estimations, i. e., 2D heat maps, 3D heat maps and unit 3D directional vector fields.

HAND POSE ESTIMATION REGRESSION

Pose Guided Structured Region Ensemble Network for Cascaded Hand Pose Estimation

11 Aug 2017xinghaochen/Pose-REN

The proposed method extracts regions from the feature maps of convolutional neural network under the guide of an initially estimated pose, generating more optimal and representative features for hand pose estimation.

HAND POSE ESTIMATION

First-Person Hand Action Benchmark with RGB-D Videos and 3D Hand Pose Annotations

CVPR 2018 guiggh/hand_pose_action

Our dataset and experiments can be of interest to communities of 3D hand pose estimation, 6D object pose, and robotics as well as action recognition.

EGOCENTRIC ACTIVITY RECOGNITION HAND GESTURE RECOGNITION HAND POSE ESTIMATION ZERO-SHOT ACTION RECOGNITION