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Hand Pose Estimation

22 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.

( Image credit: Pose-REN )

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HandAugment: A Simple Data Augmentation for HANDS19 Challenge Task 1 -- Depth-Based 3D Hand Pose Estimation

3 Jan 2020

The first stage of neural network is used to extract hand patches and estimate the initial hand poses from the depth images in an iteration fashion.

DATA AUGMENTATION HAND POSE ESTIMATION

Silhouette-Net: 3D Hand Pose Estimation from Silhouettes

28 Dec 2019

3D hand pose estimation has received a lot of attention for its wide range of applications and has made great progress owing to the development of deep learning.

HAND POSE ESTIMATION

GraphPoseGAN: 3D Hand Pose Estimation from a Monocular RGB Image via Adversarial Learning on Graphs

4 Dec 2019

Further, we design a multi-source discriminator with hand poses, bones and the input image as input to capture intrinsic features, which distinguishes the predicted 3D hand pose from the ground-truth and leads to anthropomorphically valid hand poses.

HAND POSE ESTIMATION

An End-to-end Framework for Unconstrained Monocular 3D Hand Pose Estimation

28 Nov 2019

This work addresses the challenging problem of unconstrained 3D hand pose estimation using monocular RGB images.

HAND POSE ESTIMATION

Capturing Hand Articulations using Recurrent Neural Network for 3D Hand Pose Estimation

18 Nov 2019

A hand, which is an articulated object, is composed of six local parts: the palm and five independent fingers.

HAND POSE ESTIMATION

Exploiting Spatial-Temporal Relationships for 3D Pose Estimation via Graph Convolutional Networks

ICCV 2019

Despite great progress in 3D pose estimation from single-view images or videos, it remains a challenging task due to the substantial depth ambiguity and severe self-occlusions.

3D POSE ESTIMATION HAND POSE ESTIMATION

Aligning Latent Spaces for 3D Hand Pose Estimation

ICCV 2019

Hand pose estimation from monocular RGB inputs is a highly challenging task.

HAND POSE ESTIMATION

End-to-End Hand Mesh Recovery From a Monocular RGB Image

ICCV 2019

In contrast to existing research on 2D or 3D hand pose estimation from RGB or/and depth image data, HAMR can provide a more expressive and useful mesh representation for monocular hand image understanding.

HAND POSE ESTIMATION

SO-HandNet: Self-Organizing Network for 3D Hand Pose Estimation With Semi-Supervised Learning

ICCV 2019

Since the HFE and the HFD can be trained without 3D hand pose annotation, the proposed method is able to make the best of unannotated data during the training phase.

HAND POSE ESTIMATION

Adaptive Graphical Model Network for 2D Handpose Estimation

18 Sep 2019

In this paper, we propose a new architecture called Adaptive Graphical Model Network (AGMN) to tackle the task of 2D hand pose estimation from a monocular RGB image.

HAND POSE ESTIMATION