Pose estimation is used for different applications like indoor positioning, simultaneous localization and mapping (SLAM), industrial measurement and robot calibration. For industrial applications several approaches dealing with the subject of pose estimation employ photogrammetric methods. Cameras which observe an object from a given point of view are utilized as well as cameras which are firml...

We present a new formulation to the well known problem of shape-from-texture from a single image by casting the task as a multi-plane based camera pose estimation problem. Our first contribution is methodological: we show that by using a piecewise affine model, instead of a perspective one, we can avoid the numerical instabilities in the estimation of the surface pose compared with the full-per...

Pose uncertainty estimation of calibrated cameras is a common task in the field of computer vision and uses location uncertainties of image features. For spherical cameras, those uncertainties cannot be optimally described using conventional latitude-longitude representation. Increasing distortions close to the poles of the spherical coordinate system prevent a suitable description through Gaus...

This paper presents camera mouse system with additional feature: "CTRL ALT DEL" key. The previous gaze-based camera mouse systems are only considering how to obtain gaze and making selection. We proposed gaze-based camera mouse with "CTRL ALT DEL" key. Infrared camera is put on top of display while user looking ahead. User gaze is estimated based on eye gaze and head pose. Blinking and mouth de...

The automated handling of objects requires the estimation of object position and rotation with respect to an actuator. We propose a system for silhouette-based pose estimation, which can be applied to a variety of objects, including untextured and slightly transparent objects. Pose estimation inevitably relies on previous knowledge of the object’s 3D geometry. In contrast to traditional view-ba...

In this paper a new approach is presented for markerless pose tracking in augmented reality. Using a tracking by detection approach, we estimate the 3D camera pose by detecting natural feature points in each input frame and building correspondences between 2D feature points. Instead of modeling the 3D environment, which is changing constantly and dynamically, we use a virtual square to define a...

This research is concerned with tracking tennis racket movements. Previously, stereo camera systems have been used to track markers attached to rackets, which allows for racket movements to be obtained in three-dimensions. Typically, markers are manually selected on the image plane but this can be time consuming and inaccurate. This paper discusses a markerless method to measure three-dimension...

{ In this paper we describe a method for aligning a robot gripper | or any other end eeector | with an object. An example of such a gripper/object alignment is grasping. The task consists of, rst computing an alignment condition, and second servoing the robot such that it moves and reaches the desired position. A single camera is used to provide the visual feedback necessary to estimate the loc...