Abstract 3D hand shape and pose estimation from a single depth map is a new and
challenging computer vision problem with many applications. The state-of-the-art methods …

To meet the recent demands for automated security systems, this study proposes a novel
single-template strategy that uses mean templates and local stability-weighted dynamic time …

By virtue of the stability of signatures and the high difficulty of imitation, handwriting
signatures, as an important behavioral biometric trait, have been broadly adopted for …

3D hand shape and pose estimation from a single depth map is a new and challenging
computer vision problem with many applications. Existing methods addressing it directly …

Realistic reconstruction of two hands interacting with objects is a new and challenging
problem that is essential for building personalized Virtual and Augmented Reality …

In-air signature verification is vital for biometric user identification in contact-less mode. The
state-of-the-art methods use heuristics for signature acquisition, and provide insufficient data …

In-air hand gesture signature (HGS) has become a new and emerging technique for
dynamic signature recognition due to its advantageous touchless acquisition procedure …

Hand shape and pose recovery is essential for many computer vision applications such as
animation of a personalized hand mesh in a virtual environment. Although there are many …

Simultaneously estimating the 3D shape and pose of a hand in real time is a new and
challenging computer graphics problem, which is important for animation and interactions …

The estimation of human hand pose has become the basis for many vital applications where
the user depends mainly on the hand pose as a system input. Virtual reality (VR) headset …