Abstract We present Deep Global Registration, a differentiable framework for pairwise
registration of real-world 3D scans. Deep global registration is based on three modules: a 6 …

Recent advances in 3D depth cameras such as Microsoft Kinect sensors (www. xbox.
com/en-US/kinect) have created many opportunities for multimedia computing. The Kinect …

<? Pub Dtl=""?> The recently developed depth sensors, eg, the Kinect sensor, have
provided new opportunities for human-computer interaction (HCI). Although great progress …

Inferring human gaze from low-resolution eye images is still a challenging task despite its
practical importance in many application scenarios. This paper presents a learning-by …

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 …

We present an end-to-end head-pose estimation network designed to predict Euler angles
through the full range head yaws from a single RGB image. Existing methods perform well …

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 …

The recently developed depth sensors, eg, the Kinect sensor, have provided new
opportunities for human-computer interaction (HCI). Although great progress has been …

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 …