Abstract 3D reconstruction of deformable (or non‐rigid) scenes from a set of monocular 2D
image observations is a long‐standing and actively researched area of computer vision and …

Human recognition with biometrics is a rapidly emerging area of computer vision. Compared
to other well-known biometric features such as the face, fingerprint, iris, and palmprint, the …

In this article, we provide a detailed survey of 3D Morphable Face Models over the 20 years
since they were first proposed. The challenges in building and applying these models …

Three-dimensional morphable models (3DMMs) are powerful statistical tools for
representing the 3D shapes and textures of an object class. Here we present the most …

Photo-realistic visualization and animation of expressive human faces have been a long
standing challenge. 3D face modeling methods provide parametric control but generates …

A face-swap deep fake replaces a person's face--from eyebrows to chin--with another face.
A lip-sync deep fake replaces a person's mouth region to be consistent with an …

Automatic identity recognition from ear images is an active research topic in the biometric
community. The ability to secretly acquire images of the ear remotely and the stability of the …

Abstract Three-dimensional Morphable Models (3DMMs) are powerful statistical tools for
representing the 3D surfaces of an object class. In this context, we identify an interesting …

Highlights•Prostheses can be personalized using advanced 3D scanning technologies.•3D
surface scanning is an emerging trend for capturing patient anatomy.•Automated workflows …

Current 3D scanning and printing technologies offer not only state-of-the-art developments
in the field of medical imaging and bio-engineering, but also cost and time effective solutions …