Automatic facial expression recognition constitutes an active research field due to the latest
advances in computing technology that make the user's experience a clear priority. The …

In this paper, we present a systematic literature review concerning 3D object recognition and
classification. We cover articles published between 2006 and 2016 available in three …

Unsupervised learning of latent variable models (LVMs) is widely used to represent data in
machine learning. When such model reflects the ground truth factors and the mechanisms …

The goal of our work is to develop an efficient, automatic algorithm for discovering point
correspondences between surfaces that are approximately and/or partially isometric. Our …

The last two decades have witnessed the explosive growth of image production from digital
photographs to the medical scans, satellite images, and video films. Consequently, the …

In this paper, we propose a high-order graph matching formulation to address non-rigid
surface matching. The singleton terms capture the geometric and appearance similarities …

Automatic detection of facial expressions attracts great attention due to its potential
applications in human–computer interaction as well as in human facial behavior research …

The human face is a complex trait under strong genetic control, as evidenced by the striking
visual similarity between twins. Nevertheless, heritability estimates of facial traits have often …

Ricci flow is a powerful curvature flow method, which is invariant to rigid motion, scaling,
isometric, and conformal deformations. We present the first application of surface Ricci flow …

We present an algorithm that automatically establishes dense correspondences between a
large number of 3D faces. Starting from automatically detected sparse correspondences on …