This paper presents a geometric neurocomputing approach for 3D pose recognition using the framework of the geometric Clifford algebras. The type of geometric problems like pattern recognition and 3D pose recognition can be very efficiently handled using geometric neural networks. Our experimental part shows the application of generalized Clifford moments for pattern recognition and 3D pose esti...

A method is introduced to track the object’s motion and estimate its pose from multiple cameras. We focus on direct estimation of the 3D pose from 2D image sequences. We derive a distributed solution that is equivalent to the centralized pose estimation from multiple cameras. Moreover, we show that, by using a proper rotation between each camera and a fixed camera view, we can rely on independe...

We present a hierarchical graphical model to probabilistically estimate head pose angles from real-world videos, that leverages the temporal pose information over video frames. The proposed model employs a number of complementary facial features, and performs feature level, probabilistic classifier level and temporal level fusion. Extensive experiments are performed to analyze the pose estimati...

Learning to simultaneously handle face alignment of arbitrary views, e.g. frontal and profile views, appears to be more challenging than we thought. The difficulties lay in i) accommodating the complex appearance-shape relations exhibited in different views, and ii) encompassing the varying landmark point sets due to self-occlusion and different landmark protocols. Most existing studies approac...

This paper addresses the problem of head pose estimation in the context of meetings. More precisely, given a video of people involved in a meeting, the goal is to estimate the pose of people’s head with respect to the camera, which could ultimately translate into the estimation of the focusof-attention of people (who is looking at whom or what). To this end, we present a Rao-Blackwellized mixed...

Our goal is to obtain an eye gaze estimation and a face description based on attributes (e.g. glasses, beard or thick lips) from still images. An attribute-based face description reflects human vocabulary and is therefore adequate as face description. Head pose and eye gaze play an important role in human interaction and are a key element to extract interaction information from still images. Po...