|PARP Research Group||Universidad de Murcia|
examples/OpenCV/kalmanExample/kalmanExample.cpp File Reference
Performs Kalman filtering over a corrupted sinoidal function. More...
Performs Kalman filtering over a corrupted sinoidal function.
This example uses the Kalman filter implemented in the OpenCV to estimate a robust value for an input function. The provided value is corrupted with artificial measurement and process noises.
Once compiled, the program should be used with this command line:
Two graphical plots will show up: The first plot displays the real sinoidal function value, the corrupted value, and the Kalman estimation. The second plot compares the error of the Kalman filtered value regarding the real sinoidal value, against the error of the direct corrupted measurement.
Definition in file kalmanExample.cpp.