Public Types
using	MatType = cv::Mat

using	ExternalMatGetterReturn = cv::Mat const &

using	ContourId = std::size_t

using	RejectType = std::tuple< ContourId, RejectReason, cv::Point2d >

using	RejectList = std::vector< RejectType >

Public Member Functions
	EdgeHoleBasedLedExtractor (EdgeHoleParams const &extractorParams=EdgeHoleParams())

LedMeasurementVec const &	operator() (cv::Mat const &gray, BlobParams const &p, bool verboseBlobOutput=false)

	~EdgeHoleBasedLedExtractor ()
	out of line for unique_ptr-based pimpl.

void	reset ()

ExternalMatGetterReturn	getInputGrayImage () const

ExternalMatGetterReturn	getEdgeDetectedImage () const

ExternalMatGetterReturn	getEdgeDetectedBinarizedImage () const

ContourList const &	getContours () const

LedMeasurementVec const &	getMeasurements () const

RejectList const &	getRejectList () const

Detailed Description

Definition at line 70 of file EdgeHoleBasedLedExtractor.h.

Member Function Documentation

LedMeasurementVec const & osvr::vbtracker::EdgeHoleBasedLedExtractor::operator()	(	cv::Mat const &	gray,
		BlobParams const &	p,
		bool	verboseBlobOutput = `false`
	)

Set up the threshold parameters

Early out - empty image!

Used to do basic thresholding here first to reduce background noise, but turns out that actually produced worse results at the end of the process (presumably by producing very sharp edges)

Edge detection: apply a laplacian filter to this frame

removal of mjpeg artifacts.

Extract beacons from the edge detection image

Definition at line 88 of file EdgeHoleBasedLedExtractor.cpp.

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

plugins/videotrackershared/EdgeHoleBasedLedExtractor.h
plugins/videotrackershared/EdgeHoleBasedLedExtractor.cpp

Public Types

Public Member Functions

Detailed Description

Member Function Documentation