- SlidingWindowDetector logs a scale image

- Changed some of the FFD configs to a reasonable value
- 3dmm data generation app now with visibility check for vertices
Split the sigmoid params loading function from loadMatlab
WVMs and SVMs now read the threshold and sigmoid params from the config, tested and works for FD and FFD
Ransac pose-esti now correctly uses the default- and specified params
Added an experimental file for pnp-camera matrices sw-rendering
- Added a LandmarkSink for FDDB LMs ("the" face-detection test)

- Support of loading classifiers via min/maxWidth from config
- Added a new non-maxima suppression as an alternative to the OE
- allow file-list image source to pre/postfix the image-names read from
the file-list
- solvePnP and RenderDevicePnP working correctly
- Added a small test-app to test the ransac code
- Fixed 2 bugs that were not correct code but compiled under windows and not linux
- commented-out the opencv opengl stuff to make it compile under linux

Signed-off-by:  <Patrik>
- Added a facemodelTracking app

- implemented a proper CameraEstimation/solvePnP class/wrapper
- Solved the whole hdf5 mess under windows! Should work in linux as well, will test later

- Upgrade to VS2013!
- added a test-app for the renderer
Tests with a QT opengl window
Fixed renderTestApp for linux
Updated the initial_cache.cmake template with accurate, up-to-date information and better descriptions
- added a load(ptree) function to the MorphableModel class

- LandmarkSources: changed an info message to a warning
- added a skeletton for the fitter app
- Implemented the gold standard camera estimation algorithm from Hartley & Zisserman

- Implemented a simple shape-fitting
- Moved all rendering code into RenderDevicePnP, we can switch between standard-mode and matrices from PnP-algorithms

- Removed old experimental renderer files
- renamed RenderDevicePnP to SoftwareRenderer

- removed experimental/old apps
- implemented the Supervised Descent Method for landmark detection/tracking

- SDM:  still some problems with the HOG features
- Renamed the solvePnP CameraEstimation to OpenCVCameraEstimation
- some minor affine cam fixes to the fitter
Finished the implementation of the SDM HOG landmark detection, works correctly!
- Moved the SDM fitting code to a separate class

- Now reading the HOG parameter from the model file
- Made the SDM HOG code independent of external libraries

- Added the model & matlab script to the app folder