SceneUnderstanding Class Reference

Collaboration diagram for SceneUnderstanding:
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List of all members.

Public Member Functions

 SceneUnderstanding (ModelManager *mgr, nub::ref< StdBrain > &brain)
 ~SceneUnderstanding ()
 Destructor.
nub::ref< StdBraingetBrainPtr ()
 get the brain
BayesgetBayesPtr ()
 Get the Bayes network.
SWIProloggetPrologPtr ()
 get the Prolog engine
DescriptorVecgetDescriptorVecPtr ()
 get the descriptor vector
void setImage (Image< PixRGB< byte > > &img)
 Set the current image.
float evolveBrain ()
Point2D< int > getFoveaLoc ()
 Get the current fovea location (attention location).
std::vector< double > getFV (Point2D< int > foveaLoc)
 Get a feature vector from the fovea at location p.
int classifyFovea (Point2D< int > foveaLoc, double *prob=NULL)
 classify the object under the fovea positioned at p
void learn (Point2D< int > foveaLoc, const char *name)
 Learn to associate the feature under fovea with object.
bool biasFor (const char *name)
std::string highOrderRec ()
 Recognize using high order information. in particuler use prolog KB.

Detailed Description

Definition at line 60 of file SceneUnderstanding.H.


Constructor & Destructor Documentation

SceneUnderstanding::~SceneUnderstanding (  ) 

Destructor.

Definition at line 93 of file SceneUnderstanding.C.


Member Function Documentation

bool SceneUnderstanding::biasFor ( const char *  name  ) 

Try to bias the feature maps to locate object Return true if we know about the object

Definition at line 221 of file SceneUnderstanding.C.

References ComplexChannel::accept(), Bayes::getClassId(), DescriptorVec::setInputImg(), and setSubmapAlgorithmBiased().

Referenced by highOrderRec().

int SceneUnderstanding::classifyFovea ( Point2D< int >  foveaLoc,
double *  prob = NULL 
)

classify the object under the fovea positioned at p

Definition at line 200 of file SceneUnderstanding.C.

References Bayes::classify(), and getFV().

Referenced by highOrderRec().

float SceneUnderstanding::evolveBrain (  ) 

evolve the brain Return the intrest level

Definition at line 132 of file SceneUnderstanding.C.

References Point2D< T >::i, and Image< T >::initialized().

Referenced by highOrderRec().

Bayes * SceneUnderstanding::getBayesPtr (  ) 

Get the Bayes network.

Definition at line 105 of file SceneUnderstanding.C.

nub::ref< StdBrain > SceneUnderstanding::getBrainPtr (  ) 

get the brain

Definition at line 99 of file SceneUnderstanding.C.

DescriptorVec * SceneUnderstanding::getDescriptorVecPtr (  ) 

get the descriptor vector

Definition at line 117 of file SceneUnderstanding.C.

Point2D< int > SceneUnderstanding::getFoveaLoc (  ) 

Get the current fovea location (attention location).

Definition at line 177 of file SceneUnderstanding.C.

std::vector< double > SceneUnderstanding::getFV ( Point2D< int >  foveaLoc  ) 

Get a feature vector from the fovea at location p.

Definition at line 183 of file SceneUnderstanding.C.

References DescriptorVec::buildRawDV(), DescriptorVec::getFoveaSize(), DescriptorVec::getFV(), and DescriptorVec::setFovea().

Referenced by classifyFovea(), and learn().

SWIProlog * SceneUnderstanding::getPrologPtr (  ) 

get the Prolog engine

Definition at line 111 of file SceneUnderstanding.C.

std::string SceneUnderstanding::highOrderRec (  ) 

Recognize using high order information. in particuler use prolog KB.

Definition at line 247 of file SceneUnderstanding.C.

References biasFor(), classifyFovea(), evolveBrain(), Bayes::getClassName(), DescriptorVec::getFoveaSize(), Dims::h(), and SWIProlog::query().

void SceneUnderstanding::learn ( Point2D< int >  foveaLoc,
const char *  name 
)

Learn to associate the feature under fovea with object.

Definition at line 212 of file SceneUnderstanding.C.

References getFV(), and Bayes::learn().

void SceneUnderstanding::setImage ( Image< PixRGB< byte > > &  img  ) 

Set the current image.

Definition at line 123 of file SceneUnderstanding.C.

References DescriptorVec::setInputImg().


The documentation for this class was generated from the following files:
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