3D Face Recognition Under Expressions,Occlusions and Pose Variations

In detail, we give an overview of 3D shape representation and alignment methods, 2D-3D contour-based and local feature-based alignment, and category-level recognition in images using

3D facial expression recognition on Riemannian manifold in order to accurately recognize the six prototypical expressions (i.e. Happiness, An- gry, Disgust, Sadness, Surprise and

To account for the noisy nature of the data, we propose to use a statistical analysis method, the principal components analysis (PCA), to identify primitives from the

Given the shape and geometry of a 3D face going under deformation (e.g., saying a pangram which uses every letter of an alphabet at least once), that face will exhibit a unique

cross-validated Expression Recognition Accuracy (RA) employing [55] 3D Fitting Method (FM) on the 3D face region of COMA [22] that has been.. regularly reduced by a Sparsity

Éric de Rus me confiait récemment lors d’une rencontre amicale, qu’il écrivait seulement sur quelqu’un dans la mesure où il était touché par sa personnalité. Il en est

The proposed method works in a progressive way: firstly, a random forest (RF) is constructed utilizing synthesized images derived from 3D models; secondly, the classification

After receiving this command, the server tells the quadcopter to carry out the following tasks: it should first take off, initialize the SLAM algorithm (by following a vertical path