We present a method that is capable of tracking and estimating pose of articulated objects in real-time. This is achieved by using a bottom-up approach to detect instances of the ...
The main achievement of this work is the development of a new face recognition approach called Partial Principal Component Analysis (P2 CA), which exploits the novel concept of us...
Antonio Rama, Francesc Tarres, Davide Onofrio, Ste...
Abstract The problem of estimating and predicting position and orientation (pose) of a camera is approached by fusing measurements from inertial sensors (accelerometers and rate gy...
Robust local image features have been used successfully in robot localization and camera pose estimation; region tracking using affine warps is considered state of the art also for...
In this paper, a robust technique is proposed to detect and track a set of twenty-eight prominent facial features under various facial expressions and face orientations in real-ti...