We present an algorithm to estimate the 3D pose (location
and orientation) of a previously unseen face from low-quality range images. The algorithm generates many pose candidates ...
Object pose (location and orientation) estimation is a
common task in many computer vision applications. Although
many methods exist, most algorithms need manual
initialization ...
Marcel Germann, Michael D. Breitenstein, In Kyu Pa...
We present a real-time algorithm to estimate the 3D
pose of a previously unseen face from a single range im-
age. Based on a novel shape signature to identify noses in
range ima...
We present an online learning approach for robustly combining unreliable
observations from a pedestrian detector to estimate the rough 3D scene geometry
from video sequences of a...
Michael D. Breitenstein, Eric Sommerlade, Bastian ...
We present an algorithm for multi-person tracking-bydetection
in a particle filtering framework. To address the
unreliability of current state-of-the-art object detectors, our
a...
Michael D. Breitenstein, Fabian Reichlin, Bastian ...