FeatureMomentCInvariant¶
- class FeatureMomentCInvariant¶
Bases:
FeatureMoment
Functionality computation for 2D rotation/translation/scale non-symmetric invariant moment feature. Computes the interaction matrix associated with vpMomentCInvariant .
The interaction matrix for the moment feature can be deduced from [42] , equations (9). To do so, one must derive them and obtain a combination of interaction matrices by using (1). It allows to compute the interaction matrix for \(c_i, i \in [1..10]\) .
These interaction matrices may be selected afterwards by calling vpFeatureMomentCInvariant::interaction() . The selection by the vpFeatureMomentCInvariant::selectCi method for \(L_{c_i}\) . For example, to select \(L_{c_1}\) you should input vpFeatureMomentCInvariant::selectC1() into ViSP’s selector. Special matrices for features \(S_x\) and \(S_y\) are selected by vpFeatureMomentCInvariant::selectSx() and vpFeatureMomentCInvariant::selectSy() respectively. Special matrices for features \(P_x\) and \(P_y\) are selected by vpFeatureMomentCInvariant::selectPx() and vpFeatureMomentCInvariant::selectPy() respectively.
These features are often used in moment-based visual servoing to control the two out-of-plane rotations.
Be careful about the nature of your object when selecting the right features. Use \(L_{S_{x}}\) and \(L_{S_{y}}\) when you’re dealing with a symmetric object all other features otherwise.
Minimum vpMomentObject order needed to compute this feature: 6. This is the highest order required by classic features.
This feature depends on:
vpMomentCentered
vpFeatureMomentCentered
vpMomentCInvariant
vpFeatureMomentBasic
An example of how to use vpFeatureMomentCInvariant in a complete visual servoing example is given in vpFeatureMomentCommon .
Methods
Overloaded function.
Associated moment name.
Feature name.
Print all the interaction matrices of the moment invariants
Shortcut selector for \(C_1\) .
Shortcut selector for \(C_{10}\) .
Shortcut selector for \(C_2\) .
Shortcut selector for \(C_3\) .
Shortcut selector for \(C_4\) .
Shortcut selector for \(C_5\) .
Shortcut selector for \(C_6\) .
Shortcut selector for \(C_7\) .
Shortcut selector for \(C_8\) .
Shortcut selector for \(C_9\) .
Shortcut selector for \(P_x\) .
Shortcut selector for \(P_y\) .
Shortcut selector for \(S_x\) .
Shortcut selector for \(S_y\) .
Inherited Methods
Interface function to display the moments and other interaction matrices on which a particular vpFeatureMoment is dependent upon Not made pure to maintain compatibility Recommended : Types inheriting from vpFeatureMoment should implement this function.
Indicates who should deallocate the feature.
vpServo
Links the feature to the feature's database.
deallocate
Return the dimension of the feature vector \(\bf s\) .
s
user
nbParameters
Outputs the content of the feature: it's corresponding selected moments.
Indicates who should deallocate the feature.
Select all the features.
dim_s
Retrieves the interaction matrix.
Get the feature vector \(\bf s\) .
Compute the error between two visual features from a subset of the possible features.
FEATURE_ALL
Set feature flags to true to prevent warning when re-computing the interaction matrix without having updated the feature.
Overloaded function.
Initialize common parameters for moment features.
Overloaded function.
Updates the interaction matrices with the image plane the camera is facing.
Operators
__doc__
__module__
__repr__
Attributes
FEATURE_ALL
__annotations__
deallocate
dim_s
nbParameters
s
user
vpServo
- class BasicFeatureDeallocatorType(self, value: int)¶
Bases:
pybind11_object
Indicates who should deallocate the feature.
Values:
user
vpServo
- class BasicFeatureSelect(self, value: int)¶
Bases:
pybind11_object
Indicates who should deallocate the feature.
Values:
user
vpServo
- __init__(*args, **kwargs)¶
- compute_interaction(*args, **kwargs)¶
Overloaded function.
compute_interaction(self: visp._visp.visual_features.FeatureMomentCInvariant) -> None
Computes interaction matrix for space-scale-rotation invariants. Called internally. The moment primitives must be computed before calling this. This feature depends on:
vpMomentCentered
vpFeatureMomentCentered
vpMomentCInvariant
vpFeatureMomentBasic
compute_interaction(self: visp._visp.visual_features.FeatureMoment) -> None
- display(*args, **kwargs)¶
Overloaded function.
display(self: visp._visp.visual_features.FeatureMoment, cam: visp._visp.core.CameraParameters, I: visp._visp.core.ImageGray, color: visp._visp.core.Color = vpColor::green, thickness: int = 1) -> None
Not implemented since visual representation of a moment doesn’t often make sense.
display(self: visp._visp.visual_features.FeatureMoment, cam: visp._visp.core.CameraParameters, I: visp._visp.core.ImageRGBa, color: visp._visp.core.Color = vpColor::green, thickness: int = 1) -> None
Not implemented since visual representation of a moment doesn’t often make sense.
- error(self, s_star: visp._visp.visual_features.BasicFeature, select: int = FEATURE_ALL) visp._visp.core.ColVector ¶
Compute the error between two visual features from a subset of the possible features.
- getDeallocate(self) visp._visp.visual_features.BasicFeature.BasicFeatureDeallocatorType ¶
- getDimension(*args, **kwargs)¶
Overloaded function.
getDimension(self: visp._visp.visual_features.FeatureMoment, select: int = FEATURE_ALL) -> int
Feature’s dimension according to selection.
getDimension(self: visp._visp.visual_features.BasicFeature, select: int = FEATURE_ALL) -> int
Get the feature vector dimension.
- get_s(self, select: int = FEATURE_ALL) visp._visp.core.ColVector ¶
Get the feature vector \(\bf s\) .
- interaction(self, select: int = FEATURE_ALL) visp._visp.core.Matrix ¶
Retrieves the interaction matrix. No computation is done.
There is no rule about the format of the feature selector. It may be different for different features. For example, for vpFeatureMomentBasic or vpFeatureMomentCentered features, select may refer to the \((i,j)\) couple in the \(j \times order + i\) format, but for vpFeatureMomentCInvariant the selector allows to select couples \((i,j,k,l...)\) in the following format: 1 << i
1 << j + 1 << k + 1 << l.
- linkTo(self, featureMoments: visp._visp.visual_features.FeatureMomentDatabase) None ¶
Links the feature to the feature’s database.
Note
The feature’s database is different from the moment’s database.
- Parameters:
- featureMoments: visp._visp.visual_features.FeatureMomentDatabase¶
database in which the moment features are stored.
- print(self, select: int = FEATURE_ALL) None ¶
Outputs the content of the feature: it’s corresponding selected moments.
- printDependencies(self: visp._visp.visual_features.FeatureMoment, os: std::ostream) None ¶
Interface function to display the moments and other interaction matrices on which a particular vpFeatureMoment is dependent upon Not made pure to maintain compatibility Recommended : Types inheriting from vpFeatureMoment should implement this function.
- printLsofInvariants(self: visp._visp.visual_features.FeatureMomentCInvariant, os: std::ostream) None ¶
Print all the interaction matrices of the moment invariants
Print out all invariants that were computed There are 15 of them, as in [Point-based and region based.ITRO05] [42]
- setDeallocate(self, d: visp._visp.visual_features.BasicFeature.BasicFeatureDeallocatorType) None ¶
- setFlags(self) None ¶
Set feature flags to true to prevent warning when re-computing the interaction matrix without having updated the feature.
- update(self, A: float, B: float, C: float) None ¶
Updates the interaction matrices with the image plane the camera is facing. The plane must be in the format: \(\frac{1}{Z}=Ax+By+C\) . The moment primitives MUST be updated before calling this function.
This method also computes the interaction matrix. Therefore, you must call vpFeatureMoment::update before calling vpFeatureMoment::interaction .
Warning
The behaviour of this method is not the same as vpMoment::update which only acknowledges the new object. This method also computes the interaction matrices.