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Hand gesture recognition with focus on leap motion: An overview, real world challenges and future directions
In the recent years, a steady growth of Hand Gesture Recognition (HGR) based applications
has been observed. Thus, significant progress has been made in the field of hand detection …
has been observed. Thus, significant progress has been made in the field of hand detection …
[HTML][HTML] A survey on hand pose estimation with wearable sensors and computer-vision-based methods
Real-time sensing and modeling of the human body, especially the hands, is an important
research endeavor for various applicative purposes such as in natural human computer …
research endeavor for various applicative purposes such as in natural human computer …
Visual prompt multi-modal tracking
Visible-modal object tracking gives rise to a series of downstream multi-modal tracking
tributaries. To inherit the powerful representations of the foundation model, a natural modus …
tributaries. To inherit the powerful representations of the foundation model, a natural modus …
ARCTIC: A dataset for dexterous bimanual hand-object manipulation
Humans intuitively understand that inanimate objects do not move by themselves, but that
state changes are typically caused by human manipulation (eg, the opening of a book). This …
state changes are typically caused by human manipulation (eg, the opening of a book). This …
Hybrik: A hybrid analytical-neural inverse kinematics solution for 3d human pose and shape estimation
Abstract Model-based 3D pose and shape estimation methods reconstruct a full 3D mesh for
the human body by estimating several parameters. However, learning the abstract …
the human body by estimating several parameters. However, learning the abstract …
Assemblyhands: Towards egocentric activity understanding via 3d hand pose estimation
We present AssemblyHands, a large-scale benchmark dataset with accurate 3D hand pose
annotations, to facilitate the study of egocentric activities with challenging hand-object …
annotations, to facilitate the study of egocentric activities with challenging hand-object …
Interhand2. 6m: A dataset and baseline for 3d interacting hand pose estimation from a single rgb image
Abstract Analysis of hand-hand interactions is a crucial step towards better understanding
human behavior. However, most researches in 3D hand pose estimation have focused on …
human behavior. However, most researches in 3D hand pose estimation have focused on …
Freihand: A dataset for markerless capture of hand pose and shape from single rgb images
Estimating 3D hand pose from single RGB images is a highly ambiguous problem that relies
on an unbiased training dataset. In this paper, we analyze cross-dataset generalization …
on an unbiased training dataset. In this paper, we analyze cross-dataset generalization …
Learning joint reconstruction of hands and manipulated objects
Estimating hand-object manipulations is essential for in-terpreting and imitating human
actions. Previous work has made significant progress towards reconstruction of hand poses …
actions. Previous work has made significant progress towards reconstruction of hand poses …