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 …

We present a random forest-based framework for real time head pose estimation from depth
images and extend it to localize a set of facial features in 3D. Our algorithm takes a voting …

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

Fast and reliable algorithms for estimating the head pose are essential for many applications
and higher-level face analysis tasks. We address the problem of head pose estimation from …

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 …

We present 3D Constrained Local Model (CLM-Z) for robust facial feature tracking under
varying pose. Our approach integrates both depth and intensity information in a common …

We present a system for estimating location and orientation of a person's head, from depth
data acquired by a low quality device. Our approach is based on discriminative random …

Human pose estimation has been actively studied for decades. While traditional approaches
rely on 2d data like images or videos, the development of Time-of-Flight cameras and other …

Since the launch of the Microsoft Kinect, scores of RGBD datasets have been released.
These have propelled advances in areas from reconstruction to gesture recognition. In this …

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 …