- HistogramIntersectionKernel, RbfKernel, libSvm and libLinar can now cope with multi-channel images/vectors
- changed HogFilter and ExtendedHogFilter to create a multi-channel image that contains the block/cell descriptors in each "pixel"
- added CompleteExtendedHogFilter that starts with the gradient compution (like a combination of GradientFilter, GradientBinningFilter and ExtendedHogFilter)
- added CellBasedPyramidFeatureExtractor that computes an ImagePyramid that consists of cells (e.g. HOG-Cells)
- added ImagePyramid::getLayerScales() and PyramidFeatureExtractor::getLayerScales() to retrieve the indices and scale factors of the image pyramid layers (used by CachingPyramidFeatureExtractor)
Merge branch 'master' of github.com:elador/FeatureDetection
changes in conjunction with ECCV 2014 publication
- changed image pyramid to use octave-based creation
- added new landmark source for simple CSV files
- added app for playing videos, showing rectangular landmarks and saving videos
- added new measurement model that is based on extended HOG features
- added new extended HOG feature extractor that combines everything from gradient computation to descriptor building
- added some more stuff
- fixed few bugs
Merge branch 'master' of github.com:elador/FeatureDetection
Merge branch 'tracking'

Conflicts:
	CMakeLists.txt
	ffpDetectAppExp/ffpDetectAppExp.cpp
	libClassification/src/classification/RvmClassifier.cpp
	libImageIO/include/imageio/BobotLandmarkSink.hpp
	libImageIO/include/imageio/BobotLandmarkSource.hpp
	libImageIO/src/imageio/BobotLandmarkSink.cpp
	libImageIO/src/imageio/BobotLandmarkSource.cpp
	libImageIO/src/imageio/RectLandmark.cpp