Deep neural networks have become prevalent in human analysis, boosting the performance
of applications, such as biometric recognition, action recognition, as well as person re …

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 …

Though tremendous strides have been made in uncontrolled face detection, accurate and
efficient 2D face alignment and 3D face reconstruction in-the-wild remain an open …

Precise representations of 3D faces are beneficial to various computer vision and graphics
applications. Due to the data discretization and model linearity however, it remains …

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 …

We present DAD-3DHeads, a dense and diverse large-scale dataset, and a robust model for
3D Dense Head Alignment in-the-wild. It contains annotations of over 3.5 K landmarks that …

This work investigates the estimation biases of remote photoplethysmography (rPPG)
methods for pulse rate measurement across diverse demographics. Advances in …

Existing methods for capturing datasets of 3D heads in dense semantic correspondence are
slow and commonly address the problem in two separate steps; multi-view stereo (MVS) …

We present a method for 3D face reconstruction from multi-view images with different
expressions. We formulate this problem from the perspective of non-rigid multi-view stereo …

Three-dimensional (3D) face recognition has been extensively investigated in the last two
decades due to its wide range of applications in many areas, such as security and forensics …