Survey on depth and RGB image-based 3D hand shape and pose estimation
The field of vision-based human hand three-dimensional (3D) shape and pose estimation
has attracted significant attention recently owing to its key role in various applications, such …
has attracted significant attention recently owing to its key role in various applications, such …
Honnotate: A method for 3d annotation of hand and object poses
We propose a method for annotating images of a hand manipulating an object with the 3D
poses of both the hand and the object, together with a dataset created using this method …
poses of both the hand and the object, together with a dataset created using this method …
Ganerated hands for real-time 3d hand tracking from monocular rgb
We address the highly challenging problem of real-time 3D hand tracking based on a
monocular RGB-only sequence. Our tracking method combines a convolutional neural …
monocular RGB-only sequence. Our tracking method combines a convolutional neural …
Semi-supervised 3d hand-object poses estimation with interactions in time
Estimating 3D hand and object pose from a single image is an extremely challenging
problem: hands and objects are often self-occluded during interactions, and the 3D …
problem: hands and objects are often self-occluded during interactions, and the 3D …
First-person hand action benchmark with rgb-d videos and 3d hand pose annotations
G Garcia-Hernando, S Yuan… - Proceedings of the …, 2018 - openaccess.thecvf.com
In this work we study the use of 3D hand poses to recognize first-person dynamic hand
actions interacting with 3D objects. Towards this goal, we collected RGB-D video sequences …
actions interacting with 3D objects. Towards this goal, we collected RGB-D video sequences …
H+ o: Unified egocentric recognition of 3d hand-object poses and interactions
We present a unified framework for understanding 3D hand and object interactions in raw
image sequences from egocentric RGB cameras. Given a single RGB image, our model …
image sequences from egocentric RGB cameras. Given a single RGB image, our model …
Hope-net: A graph-based model for hand-object pose estimation
Hand-object pose estimation (HOPE) aims to jointly detect the poses of both a hand and of a
held object. In this paper, we propose a lightweight model called HOPE-Net which jointly …
held object. In this paper, we propose a lightweight model called HOPE-Net which jointly …
Pushing the envelope for rgb-based dense 3d hand pose estimation via neural rendering
Estimating 3D hand meshes from single RGB images is challenging, due to intrinsic 2D-3D
mapping ambiguities and limited training data. We adopt a compact parametric 3D hand …
mapping ambiguities and limited training data. We adopt a compact parametric 3D hand …
Ganhand: Predicting human grasp affordances in multi-object scenes
The rise of deep learning has brought remarkable progress in estimating hand geometry
from images where the hands are part of the scene. This paper focuses on a new problem …
from images where the hands are part of the scene. This paper focuses on a new problem …
Depth-based 3d hand pose estimation: From current achievements to future goals
S Yuan, G Garcia-Hernando… - Proceedings of the …, 2018 - openaccess.thecvf.com
In this paper, we strive to answer two questions: What is the current state of 3D hand pose
estimation from depth images? And, what are the next challenges that need to be tackled …
estimation from depth images? And, what are the next challenges that need to be tackled …