boofcv.alg.sfm.d3

Class VisOdomMonoPlaneInfinity<T extends ImageBase>

java.lang.Object

boofcv.alg.sfm.d3.VisOdomMonoPlaneInfinity<T>

public class VisOdomMonoPlaneInfinity<T extends ImageBase>
extends java.lang.Object

Estimates camera ego-motion by assuming the camera is viewing a flat plane and that off plane points are at infinity. These assumptions are often true for robots traveling over flat terrain outdoors. There are no assumptions for orientation of the camera, e.g. it could be upside down and at an angle relative to the plane.

A point feature tracker is used to extract sparse optical flow from the image sequence. Bad tracks are removed first through the use of geometric constraints and then through robust estimation techniques which search for maximum inlier sets. Before a track is discarded it has to be not used for X frames in a row, where X is user specified. Determination of inliers is done through a user specified threshold in pixels.

Points on the plane are used to estimate translation and rotation, while points at infinity are just used to estimate rotation. The two rotation estimates are merged together using a weighted vector average. Motion estimation does not require any off plane points at infinity, but does require points on the plane. All motion estimation is done internally in 2D, but can be converted into 3D.

It is possible to turn on a more rigid test for off plane points at infinity. If 'strictFar' is set to true then any points which contains motions that could not be generated by a rotation about the y-axis are discarded. This appears to be too strict and discard an excessive number of points when vehicle pitch up and down. Pitching motions will often not affect motion estimates from projected vectors on to the plane.

Nested Class Summary

Nested Classes

Modifier and Type	Class and Description
static class	VisOdomMonoPlaneInfinity.VoTrack Additional track information for use in motion estimation

Constructor Summary

Constructors

Constructor and Description
VisOdomMonoPlaneInfinity(int thresholdAdd, int thresholdRetire, double thresholdPixelError, ModelMatcher<Se2_F64,PlanePtPixel> planeMotion, PointTracker<T> tracker) Configures motion estimation.

Method Summary

Modifier and Type	Method and Description
Se2_F64	getCurrToWorld2D() Returns the 2D motion estimate
int	getTick() Number of frames processed
PointTracker<T>	getTracker()
Se3_F64	getWorldToCurr3D() Converts 2D motion estimate into a 3D motion estimate
boolean	isStrictFar()
static double	maximizeCountInSpread(double[] data, int size, double maxSpread) Finds the value which has the largest number of points above and below it within the specified spread
boolean	process(T image) Estimates the motion which the camera undergoes relative to the first frame processed.
void	reset() Resets the algorithm into its initial state
void	setExtrinsic(Se3_F64 planeToCamera) Camera the camera's extrinsic parameters.
void	setIntrinsic(IntrinsicParameters intrinsic) Camera the camera's intrinsic parameters.
void	setStrictFar(boolean strictFar)

Methods inherited from class java.lang.Object

equals, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

Constructor Detail

VisOdomMonoPlaneInfinity

public VisOdomMonoPlaneInfinity(int thresholdAdd,
                                int thresholdRetire,
                                double thresholdPixelError,
                                ModelMatcher<Se2_F64,PlanePtPixel> planeMotion,
                                PointTracker<T> tracker)

Configures motion estimation.

Parameters:

thresholdAdd - New points are spawned when the number of on plane inliers drops below this value.

thresholdRetire - Tracks are dropped when they are not contained in the inlier set for this many frames in a row. Try 2

thresholdPixelError - Threshold used to determine inliers. Try 1.5

planeMotion - Motion estimator for points on plane

tracker - Image feature tracker

Method Detail

setIntrinsic

public void setIntrinsic(IntrinsicParameters intrinsic)

Camera the camera's intrinsic parameters. Can be called at any time.

Parameters:

intrinsic - Intrinsic camera parameters

setExtrinsic

public void setExtrinsic(Se3_F64 planeToCamera)

Camera the camera's extrinsic parameters. Can be called at any time.

Parameters:

planeToCamera - Transform from the plane to camera.

reset

public void reset()

Resets the algorithm into its initial state

process

public boolean process(T image)

Estimates the motion which the camera undergoes relative to the first frame processed.

Parameters:

image - Most recent camera image.

Returns:

true if motion was estimated or false if a fault occurred. Should reset after a fault.

getTick

public int getTick()

Number of frames processed

Returns:

Number of frames processed

getCurrToWorld2D

public Se2_F64 getCurrToWorld2D()

Returns the 2D motion estimate

Returns:

Motion estimate from current frame into world frame in 2D

getWorldToCurr3D

public Se3_F64 getWorldToCurr3D()

Converts 2D motion estimate into a 3D motion estimate

Returns:

from world to current frame.

maximizeCountInSpread

public static double maximizeCountInSpread(double[] data,
                                           int size,
                                           double maxSpread)

Finds the value which has the largest number of points above and below it within the specified spread

Parameters:

data - Input data. Is modified by sort

size - number of elements in data

maxSpread - the spread it's going after

Returns:

best value

getTracker

public PointTracker<T> getTracker()

isStrictFar

public boolean isStrictFar()

setStrictFar

public void setStrictFar(boolean strictFar)