GHand: A GPU Algorithm for Realtime Hand Pose Estimation Using Depth Camera

In this paper, we present a math- ematical analysis of the velocity obstacle algorithm applied to a vehicle that is subject to nonholonomic constraints, for avoiding a moving

Moreover, a silane (GPS) surface treatment is applied for improving the adhesion between the particles and the surrounding matrix. More details are found in [19]. The data set is

− CRLs are periodically issued and posted to a repository, even if there are no changes or updates to be made. NPKI Root CA CRLs shall be published bi-weekly. NPKI at tier 2 and

(15) The velocity vectors v ca (j) will keep the constant avoidance angle α o to the obstacle, and will hence be used as candidates for the desired vehicle velocity in

There had been an innovative report prepared by Lord Dawson in 1920 for the Minister of Health’s Consultative Council on Medical and Allied Services, in which he used his

In this work we present a markerless motion capture approach which can be used to estimate the human body pose in real-time with a single depth camera.. The presented approach

It builds on previously known approaches like finding geodesic maxima for fingertip detection and presents new techniques for finger segmentation in point clouds and for the

Therefore, this section provides a quantitative evaluation of the accuracy of depth image based 3D difference detection with different setups (image based camera pose estimation with