We present a system for the estimation of unconstrained
3D human upper body movement from multiple cameras.
Its main novelty lies in the integration of three components:
single-...
Estimating human body poses in static images is important for many image understanding applications including semantic content extraction and image database query and retrieval. Th...
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,...
We present a 3D, probabilistic object-surface model, along with mechanisms for probabilistically integrating unregistered 2.5D views into the model, and for segmenting model instan...
In this article we discuss the 2D-3D pose estimation problem of 3D free-form surface models. In our scenario we observe free-form surface models in an image of a calibrated camera....