Classes | Typedefs | Enumerations | Functions
pcl::segmentation::grabcut Namespace Reference

Classes

class  BoykovKolmogorov
struct  Color
 Structure to save RGB colors into floats. More...
struct  Gaussian
 Gaussian structure. More...
class  GaussianFitter
class  GMM

Typedefs

typedef pcl::PointCloud< ColorImage
 An Image is a point cloud of Color.

Enumerations

enum  SegmentationValue { SegmentationForeground = 0, SegmentationBackground }
 Grabcut derived hard segementation values. More...
enum  TrimapValue { TrimapUnknown = -1, TrimapForeground, TrimapBackground }
 User supplied Trimap values. More...

Functions

void buildGMMs (const Image &image, const std::vector< int > &indices, const std::vector< SegmentationValue > &hardSegmentation, std::vector< std::size_t > &components, GMM &background_GMM, GMM &foreground_GMM)
float colorDistance (const Color &c1, const Color &c2)
 Compute squared distance between two colors.
void learnGMMs (const Image &image, const std::vector< int > &indices, const std::vector< SegmentationValue > &hard_segmentation, std::vector< std::size_t > &components, GMM &background_GMM, GMM &foreground_GMM)

Typedef Documentation

An Image is a point cloud of Color.

Definition at line 194 of file grabcut.h.


Enumeration Type Documentation

Grabcut derived hard segementation values.

Enumerator:
SegmentationForeground 
SegmentationBackground 

Definition at line 205 of file grabcut.h.

User supplied Trimap values.

Enumerator:
TrimapUnknown 
TrimapForeground 
TrimapBackground 

Definition at line 203 of file grabcut.h.


Function Documentation

void pcl::segmentation::grabcut::buildGMMs ( const Image &  image,
const std::vector< int > &  indices,
const std::vector< SegmentationValue > &  hardSegmentation,
std::vector< std::size_t > &  components,
GMM &  background_GMM,
GMM &  foreground_GMM 
)

Build the initial GMMs using the Orchard and Bouman color clustering algorithm

Definition at line 652 of file grabcut.cpp.

float pcl::segmentation::grabcut::colorDistance ( const Color c1,
const Color c2 
)

Compute squared distance between two colors.

Parameters:
[in]c1first color
[in]c2second color
Returns:
the squared distance measure in RGB space
void pcl::segmentation::grabcut::learnGMMs ( const Image &  image,
const std::vector< int > &  indices,
const std::vector< SegmentationValue > &  hard_segmentation,
std::vector< std::size_t > &  components,
GMM &  background_GMM,
GMM &  foreground_GMM 
)

Iteratively learn GMMs using GrabCut updating algorithm

Definition at line 768 of file grabcut.cpp.



pcl
Author(s): Open Perception
autogenerated on Wed Aug 26 2015 15:47:04