probabilistic_grasp_planner::RecognitionProbabilityComputer Class Reference

Converts a raw recognition result into a list of probabilities that each object was correctly detected. More...

#include <recognition_probability_computer.h>

Inheritance diagram for probabilistic_grasp_planner::RecognitionProbabilityComputer:

List of all members.

Public Member Functions
virtual void	computeRepresentationProbabilities (std::vector< ObjectRepresentation > &objects)=0

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Detailed Description

Converts a raw recognition result into a list of probabilities that each object was correctly detected.

Definition at line 49 of file recognition_probability_computer.h.

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Member Function Documentation

virtual void probabilistic_grasp_planner::RecognitionProbabilityComputer::computeRepresentationProbabilities

(

std::vector< ObjectRepresentation > &

objects

)

[pure virtual]

Given a list of GraspableObjects (database models, point clouds, etc.) which describe the real object, computes the probability for each object that the hypothesis "this 'object' is the best description of the real object" is true.

Implemented in probabilistic_grasp_planner::LearnedProbabilityComputer, probabilistic_grasp_planner::CompositeProbabilityComputer, and probabilistic_grasp_planner::TopHitProbabilityComputer.

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

• recognition_probability_computer.h