Video: The Self-Referenced DLR 3D-Modeler 8
Tracking performance in relation to the used image flow prediction scheme. Here the hybrid prediction scheme is shown, for highly-dynamic conditions. IMU data are used for the prediction of the rotational image flow for every feature. For the estimation of the translational image flow, first the last translational image flow is being estimated (from the last image flow as from the tracking results, and from the last predicted rotational image flow from the IMU). The current translational image flow prediction corresponds to the extrapolation of the last translational image flow. This hybrid image flow is, again, added to the last tracked positions of the features.
Date of creation: 2009-02-25
Video: The Self-Referenced DLR 3D-Modeler 8
Video: The Self-Referenced DLR 3D-Modeler 8
Tracking performance in relation to the used image flow prediction scheme. Here the hybrid prediction scheme is shown, for highly-dynamic conditions. IMU data are used for the prediction of the rotational image flow for every feature. For the estimation of the translational image flow, first the last translational image flow is being estimated (from the last image flow as from the tracking results, and from the last predicted rotational image flow from the IMU). The current translational image flow prediction corresponds to the extrapolation of the last translational image flow. This hybrid image flow is, again, added to the last tracked positions of the features.
Date of creation: 2009-02-25
Credit: DLR (CC BY-NC-ND 3.0)
Duration:00:00:37