A method is presented for estimating the pose (position & orientation) of a camera based on a set of correspondences between world space and camera space by decomposing the problem into orientation estimation and triangulation. Both of these steps can be proven to be globally convergent which allows fast and accurate estimation. Furthermore, the pose estimation works in full projective space, p...

Abstract Pose estimation of construction machines describes their motions and orientations in 3D space, which provides basic information for remote control, safety monitoring, productivity analysis. Among the commonly used machines, excavator is an important one whose pose has significant value development automatic driving systems operation monitoring. Regarding vision-based excavators, previo...

3D human pose estimation is frequently seen as the task of estimating poses relative to root body joint. Alternatively, we propose a method in camera coordinates, which allows effective combination 2D annotated data and straightforward multi-view generalization. To that end, cast problem view frustum space estimation, where absolute depth prediction joint estimations are disentangled. Final pre...

The basic idea of augmented reality is to augment the view of a user or camera with virtual objects. Real-time camera tracking is an enabling technology for augmented reality. Besides the high estimation precision that is needed to allow for pixel accurate augmentations, mobile augmented reality applications impose further requirements on the tracking method. One important aspect is robustness ...

We demonstrate real-time face tracking and pose estimation in an unconstrained ooce environment with an active foveated camera. Using vision routines previously implemented for an interactive environment, we determine the spatial location of a user's head and guide an active camera to obtain foveated images of the face. Faces are analyzed using a set of eigenspaces indexed over both pose and wo...

Advances in visual sensor devices and computing power are revolutionising the interaction of robots with their environment. Cameras that capture depth information along a common colour image play significant role. These cheap, small, fairly precise. The provided, particularly point clouds, can be generated virtual environment, providing complete 3D for applications. However, off-the-shelf camer...

We describe a framework for robust object recognition and pose estimation of 3D object which is using a sequence of images and probabilistic method. Using a sequence of images in multiple views has great advantage for robust object recognition and pose estimation in noisy and ill-conditioned environment texture, occlusion, illuminate and camera pose. For recognizing an object and estimating its...