FixedModel (Fiji Javadocs 0-SNAPSHOT API)

java.lang.Object
- mpicbg.models.AbstractModel<M>
- - mpicbg.pointdescriptor.model.TranslationInvariantModel<FixedModel>
  - - mpicbg.pointdescriptor.model.FixedModel

All Implemented Interfaces:

Serializable, CoordinateTransform, Model<FixedModel>
```
public class FixedModel
extends TranslationInvariantModel<FixedModel>
```
This model just applies some other TranslationInvariantModel without computing anything. This could be considered a translation invariant translation model :)

See Also:

Serialized Form

Field Summary

Fields
Modifier and Type	Field and Description
`protected double`	`m00`
`protected double`	`m01`
`protected double`	`m02`
`protected double`	`m03`
`protected double`	`m10`
`protected double`	`m11`
`protected double`	`m12`
`protected double`	`m13`
`protected double`	`m20`
`protected double`	`m21`
`protected double`	`m22`
`protected double`	`m23`
`protected static int`	`MIN_NUM_MATCHES`

Fields inherited from class mpicbg.models.AbstractModel
cost, rnd

Constructor Summary

Constructors
Constructor and Description
`FixedModel(double m00, double m01, double m02, double m03, double m10, double m11, double m12, double m13, double m20, double m21, double m22, double m23)`

Method Summary

All Methods Instance Methods Concrete Methods
Modifier and Type	Method and Description
`double[]`	`apply(double[] l)` Apply the `CoordinateTransform` to a location.
`void`	`applyInPlace(double[] l)` Apply the `CoordinateTransform` to a location.
`boolean`	`canDoNumDimension(int numDimensions)` The `TranslationInvariantModel` can tell which dimensions it supports.
`FixedModel`	`copy()` Clone the model.
`<P extends PointMatch> void`	`fit(Collection<P> matches)` Fit the `Model` to a set of data points minimizing the global transfer error.
`int`	`getMinNumMatches()`
`void`	`set(FixedModel m)` Set the model to m
`String`	`toString()`

Methods inherited from class mpicbg.models.AbstractModel
betterThan, filter, filter, filter, filterRansac, filterRansac, filterRansac, filterRansac, fit, fit, getCost, icp, localSmoothnessFilter, ransac, ransac, setCost, test, test

Methods inherited from class java.lang.Object
clone, equals, finalize, getClass, hashCode, notify, notifyAll, wait, wait, wait

- Field Detail
  - MIN_NUM_MATCHES
```
protected static final int MIN_NUM_MATCHES
```
    See Also:
    
    Constant Field Values
  - m00
```
protected double m00
```
  - m01
```
protected double m01
```
  - m02
```
protected double m02
```
  - m03
```
protected double m03
```
  - m10
```
protected double m10
```
  - m11
```
protected double m11
```
  - m12
```
protected double m12
```
  - m13
```
protected double m13
```
  - m20
```
protected double m20
```
  - m21
```
protected double m21
```
  - m22
```
protected double m22
```
  - m23
```
protected double m23
```
- Constructor Detail
  - FixedModel
```
public FixedModel(double m00,
                  double m01,
                  double m02,
                  double m03,
                  double m10,
                  double m11,
                  double m12,
                  double m13,
                  double m20,
                  double m21,
                  double m22,
                  double m23)
```
- Method Detail
  - canDoNumDimension
```
public boolean canDoNumDimension(int numDimensions)
```
    Description copied from class: TranslationInvariantModel
    
    The TranslationInvariantModel can tell which dimensions it supports.
    
    Specified by:
    
    canDoNumDimension in class TranslationInvariantModel<FixedModel>
    
    Parameters:
    
    numDimensions - - The dimensionality (e.g. 3 means 3-dimensional)
    
    Returns:
    
    - If the TranslationInvariantModel supports that dimensionality
  - fit
```
public final <P extends PointMatch> void fit(Collection<P> matches)
                                      throws NotEnoughDataPointsException,
                                             IllDefinedDataPointsException
```
    Description copied from interface: Model
    
    Fit the Model to a set of data points minimizing the global transfer error. This is assumed to be implemented as a weighted least squares minimization. Use ransac and/ or Model.filter(java.util.Collection<P>, java.util.Collection<P>, double, int) to remove outliers from your data points.
    The estimated model transfers match.p1.local to match.p2.world.
    
    Parameters:
    
    matches - set of point correpondences
    
    Throws:
    
    NotEnoughDataPointsException - if matches does not contain enough data points
    
    IllDefinedDataPointsException - if the set of data points is inappropriate to solve the Model
  - set
```
public final void set(FixedModel m)
```
    Description copied from interface: Model
    
    Set the model to m
  - copy
```
public FixedModel copy()
```
    Description copied from interface: Model
    
    Clone the model.
  - getMinNumMatches
```
public final int getMinNumMatches()
```
    Returns:
    
    the minimal number of PointMatches required to solve the model.
  - apply
```
public final double[] apply(double[] l)
```
    Description copied from interface: CoordinateTransform
    
    Apply the CoordinateTransform to a location.
    
    Returns:
    
    transformed location
  - applyInPlace
```
public final void applyInPlace(double[] l)
```
    Description copied from interface: CoordinateTransform
    
    Apply the CoordinateTransform to a location.
  - toString
```
public final String toString()
```
    Overrides:
    
    toString in class Object

Class FixedModel

Field Summary

Fields inherited from class mpicbg.models.AbstractModel

Constructor Summary

Method Summary

Methods inherited from class mpicbg.models.AbstractModel

Methods inherited from class java.lang.Object

Field Detail

MIN_NUM_MATCHES

m00

m01

m02

m03

m10

m11

m12

m13

m20

m21

m22

m23

Constructor Detail

FixedModel

Method Detail

canDoNumDimension

fit

set

copy

getMinNumMatches

apply

applyInPlace

toString