Abstract 3D face recognition (3DFR) has emerged as an effective means of characterizing
facial identity over the past several decades. Depending on the types of techniques used in …

The concept of the Human Digital Twin (HDT) has recently emerged as a new research area
within the domain of digital twin technology. HDT refers to the replica of a physical-world …

In the field of 3D face alignment, most researchers have focused on improving the prediction
accuracy of algorithms and ignored the portability for practical applications. To this end, this …

Face images from different perspectives reduce the accuracy of face recognition, and the
generation of frontal face images is an important research topic in the field of face …

Three-dimensional face dense alignment and reconstruction in the wild is a challenging
problem as partial facial information is commonly missing in occluded and large pose face …

The identification and annotation of buildings has long been a tedious and expensive part of
high-precision vector map production. The deep learning techniques such as fully …

This paper presents a method for riggable 3D face reconstruction from monocular images,
which jointly estimates a personalized face rig and per-image parameters including …

Recently, a lot of attention has been focused on the incorporation of 3D data into face
analysis and its applications. Despite providing a more accurate representation of the face …

Abstract 3D face reconstruction is the most captivating topic in biometrics with the advent of
deep learning and readily available graphical processing units. This paper explores the …

3D face reconstruction is considered to be a useful computer vision tool, though it is difficult
to build. This paper proposes a 3D face reconstruction method, which is easy to implement …