Evolutionary algorithms (EAs) and swarm algorithms (SAs) have shown their usefulness in
solving combinatorial and NP-hard optimization problems in various research fields …

Many successful models for scene or object recognition transform low-level descriptors
(such as Gabor filter responses, or SIFT descriptors) into richer representations of …

One option to address the challenge of demographic transition is to build robots that enable
aging in place. Falling has been identified as the most relevant factor to cause a move to a …

Fast and accurate upper-body and head pose estimation is a key task for automatic
monitoring of driver attention, a challenging context characterized by severe illumination …

In this paper we present a convolutional neural network (CNN)-based model for human
head pose estimation in low-resolution multi-modal RGB-D data. We pose the problem as …

In this paper, we propose head pose estimation using deep neural networks and 3D point
cloud. Unlike existing methods that either take 2D RGB image or 2D depth image as input …

Facial analysis in videos, including head pose estimation and facial landmark localization, is
key for many applications such as facial animation capture, human activity recognition, and …

Depth cameras allow to set up reliable solutions for people monitoring and behavior
understanding, especially when unstable or poor illumination conditions make unusable …

We introduce a method for accurate three dimensional head pose estimation using a
commodity depth camera. We perform pose estimation by registering a morphable face …

This article explores the usefulness of the depth images provided by the current Microsoft
Kinect sensors in different face analysis tasks including identity, gender and ethnicity. Four …