This paper addresses the pose recovery problem of a particular articulated object: the human body. In this model-based approach, the 2D-shape is associated to the corresponding st...
We describe a learning based method for recovering 3D human body pose from single images and monocular image sequences. Our approach requires neither an explicit body model nor pr...
This paper proposes a method of determining human head poses from a sequence of images. The main idea is to use some features in a 3D head model to generate a virtual fronto-paral...
The Extended Kalman Filter (EKF) is suitable for real-time pose estimation due its low computational demand and ability to handle the nonlinear perspective camera model. There are...
Mohammad Ehab Ragab, Kin-hong Wong, Jun Zhou Chen,...
In this paper we investigate the quality of 3D-2D pose estimates using hand labeled line and point correspondences. We select point correspondences from junctions in the image, all...
Florian Pilz, Yan Shi, Daniel Grest, Nicolas Pugea...