Classes | |
class | analyse_result_blob |
An analyse result policy for the hypothesis filter. More... | |
class | analyse_result_mean |
An analyse result policy for the hypothesis filter. More... | |
class | condensation |
a picking policy. More... | |
class | correlation_observer2D |
Performs a cross-correlation product on a part of the current image and a kernel image. More... | |
class | hypothesis |
interface class of an hypothesis More... | |
class | hypothesis2D |
2-D location of an object More... | |
class | hypothesis3D |
Hold the 3-D parameters of an object location. More... | |
class | hypothesis_filter_data |
Contains the data shared by the different policies of hypothesis filter. More... | |
class | hypothesis_filter |
The host class, center of the hypothesis filter architecture. More... | |
class | image_loader |
A policy (ref Modern C++ Design Andrei Alexandrescu) for hypothesis_filter that will take care to load a sequence of images if the image names of the sequence follows the naming convention base_nameXXXX.png, X being a digit. More... | |
class | no_compensation |
default compensation policy. More... | |
class | p_condensation |
a picking policy More... | |
Typedefs | |
typedef boost::numeric::ublas::vector< float > | Point |
typedef boost::numeric::ublas::vector< float > | Point |
typedef boost::numeric::ublas::vector<float> mimas::hf::Point |
Definition at line 9 of file no_compensation.h.
typedef boost::numeric::ublas::vector<float> mimas::hf::Point |
Definition at line 26 of file hypothesis_filter.h.