Rgb2hands: real-time tracking of 3d hand interactions from monocular rgb video
Tracking and reconstructing the 3D pose and geometry of two hands in interaction is a
challenging problem that has a high relevance for several human-computer interaction …
challenging problem that has a high relevance for several human-computer interaction …
Real-time pose and shape reconstruction of two interacting hands with a single depth camera
We present a novel method for real-time pose and shape reconstruction of two strongly
interacting hands. Our approach is the first two-hand tracking solution that combines an …
interacting hands. Our approach is the first two-hand tracking solution that combines an …
Two-hand global 3d pose estimation using monocular rgb
F Lin, C Wilhelm, T Martinez - Proceedings of the IEEE/CVF …, 2021 - openaccess.thecvf.com
We tackle the challenging task of estimating global 3D joint locations for both hands via only
monocular RGB input images. We propose a novel multi-stage convolutional neural network …
monocular RGB input images. We propose a novel multi-stage convolutional neural network …
Back to rgb: 3d tracking of hands and hand-object interactions based on short-baseline stereo
P Panteleris, A Argyros - Proceedings of the IEEE …, 2017 - openaccess.thecvf.com
We present a novel solution to the problem of 3D tracking of the articulated motion of human
hand (s), possibly in interaction with other objects. The vast majority of contemporary …
hand (s), possibly in interaction with other objects. The vast majority of contemporary …
Monocular 3D reconstruction of interacting hands via collision-aware factorized refinements
3D interacting hand reconstruction is essential to facilitate human-machine interaction and
human behaviors understanding. Previous works in this field either rely on auxiliary inputs …
human behaviors understanding. Previous works in this field either rely on auxiliary inputs …
Capturing hands in action using discriminative salient points and physics simulation
Hand motion capture is a popular research field, recently gaining more attention due to the
ubiquity of RGB-D sensors. However, even most recent approaches focus on the case of a …
ubiquity of RGB-D sensors. However, even most recent approaches focus on the case of a …
Real-time joint tracking of a hand manipulating an object from rgb-d input
Real-time simultaneous tracking of hands manipulating and interacting with external objects
has many potential applications in augmented reality, tangible computing, and wearable …
has many potential applications in augmented reality, tangible computing, and wearable …
Articulated distance fields for ultra-fast tracking of hands interacting
The state of the art in articulated hand tracking has been greatly advanced by hybrid
methods that fit a generative hand model to depth data, leveraging both temporally and …
methods that fit a generative hand model to depth data, leveraging both temporally and …
Tracking and reconstructing hand object interactions from point cloud sequences in the wild
In this work, we tackle the challenging task of jointly tracking hand object poses and
reconstructing their shapes from depth point cloud sequences in the wild, given the initial …
reconstructing their shapes from depth point cloud sequences in the wild, given the initial …
Real-time hand tracking under occlusion from an egocentric rgb-d sensor
We present an approach for real-time, robust, and accurate hand pose estimation from
moving egocentric RGB-D cameras in cluttered real environments. Existing methods …
moving egocentric RGB-D cameras in cluttered real environments. Existing methods …