- used composition instead of inheritance for PositionDependentMeasurementModel to allow for greater flexibility in creating measurement models
- added functions for updating itself and evaluating single samples to MeasurementModel
- added a FilteringClassifierModel that applies an additional filter (binary classifier) to the samples before or after evaluation by another measurement model
- added pyramid parameters to the filter section of the headTrackingApp config file
- removed temporary classes from headTrackingApp
changed configuration of headTrackingApp
changed config of headTrackingApp
- apply functions of image filters are const now
- re-phrased the documentation of PatchResizingFeatureExtractor
fixed the size distribution of randomly generated samples within ResamplingSampler to be more uniform (favored larger samples because of uniform int distribution before)
- fixed a problem of adaptiveTrackingApp with having automatic initialization and adaptive features using an image pyramid
- changed the configuration of adaptiveTrackingApp
changed config of adaptiveTrackingApp
- Fixed a bug in ModelLandmark::draw that draw to an incorrect location when the image had an alpha channel.

- Full perspective rendering now also perfectly working
Can now generate random landmark-data with the app
Added generation of random model coefficients