Operator Reference

create_planar_uncalib_deformable_modelCreatePlanarUncalibDeformableModelCreatePlanarUncalibDeformableModelcreate_planar_uncalib_deformable_model (Operator)

create_planar_uncalib_deformable_modelT_create_planar_uncalib_deformable_modelCreatePlanarUncalibDeformableModelCreatePlanarUncalibDeformableModelcreate_planar_uncalib_deformable_model — Creates a deformable model for uncalibrated, perspective matching.

Signature

create_planar_uncalib_deformable_model(Template : : NumLevels, AngleStart, AngleExtent, AngleStep, ScaleRMin, ScaleRMax, ScaleRStep, ScaleCMin, ScaleCMax, ScaleCStep, Optimization, Metric, Contrast, MinContrast, GenParamName, GenParamValue : ModelID)

Description

The operator create_planar_uncalib_deformable_modelcreate_planar_uncalib_deformable_modelCreatePlanarUncalibDeformableModelCreatePlanarUncalibDeformableModelcreate_planar_uncalib_deformable_model prepares a template, which is passed in the image TemplateTemplateTemplatetemplatetemplate, as a deformable model used for uncalibrated perspective matching. The ROI of the model is passed as the domain of TemplateTemplateTemplatetemplatetemplate.

The planar uncalibrated matching can be used to detect planar objects or planar subparts of non-planar objects that are distorted by a projective view.

This is an alternative to create_generic_shape_modelcreate_generic_shape_modelCreateGenericShapeModelCreateGenericShapeModelcreate_generic_shape_model, where typically the search image must be rectified by calibrate_camerascalibrate_camerasCalibrateCamerasCalibrateCamerascalibrate_cameras and gen_image_to_world_plane_mapgen_image_to_world_plane_mapGenImageToWorldPlaneMapGenImageToWorldPlaneMapgen_image_to_world_plane_map beforehand.

In contrast to create_shape_model_3dcreate_shape_model_3dCreateShapeModel3dCreateShapeModel3dcreate_shape_model_3d there is no need to pre-generate different views of an object, resulting into a smaller memory consumption. Hence, in case of a planar perspectively distorted object, create_planar_uncalib_deformable_modelcreate_planar_uncalib_deformable_modelCreatePlanarUncalibDeformableModelCreatePlanarUncalibDeformableModelcreate_planar_uncalib_deformable_model should be preferred.

The model is generated using multiple image pyramid levels and is stored in memory. The output parameter ModelIDModelIDModelIDmodelIDmodel_id is a handle for this model, which is used in subsequent calls to find_planar_uncalib_deformable_modelfind_planar_uncalib_deformable_modelFindPlanarUncalibDeformableModelFindPlanarUncalibDeformableModelfind_planar_uncalib_deformable_model.

Input parameters in detail

NumLevelsNumLevelsNumLevelsnumLevelsnum_levels:

The number of pyramid levels is determined with the parameter NumLevelsNumLevelsNumLevelsnumLevelsnum_levels. It should be chosen as large as possible because by this the time necessary to find the object is significantly reduced. On the other hand, NumLevelsNumLevelsNumLevelsnumLevelsnum_levels must be chosen such that the model is still recognizable and contains a sufficient number of points on the highest pyramid level. If not enough model points are generated, the number of pyramid levels is reduced internally until enough model points are found on the highest pyramid level. If this procedure would lead to a model with no pyramid levels, i.e., if the number of model points is already too small on the lowest pyramid level, create_planar_uncalib_deformable_modelcreate_planar_uncalib_deformable_modelCreatePlanarUncalibDeformableModelCreatePlanarUncalibDeformableModelcreate_planar_uncalib_deformable_model returns with an error message. If NumLevelsNumLevelsNumLevelsnumLevelsnum_levels is set to 'auto'"auto""auto""auto""auto", create_planar_uncalib_deformable_modelcreate_planar_uncalib_deformable_modelCreatePlanarUncalibDeformableModelCreatePlanarUncalibDeformableModelcreate_planar_uncalib_deformable_model determines the number of pyramid levels automatically. The automatically computed number of pyramid levels can be queried using get_deformable_model_paramsget_deformable_model_paramsGetDeformableModelParamsGetDeformableModelParamsget_deformable_model_params. In rare cases, it might happen that create_planar_uncalib_deformable_modelcreate_planar_uncalib_deformable_modelCreatePlanarUncalibDeformableModelCreatePlanarUncalibDeformableModelcreate_planar_uncalib_deformable_model determines a value for the number of pyramid levels that is too large or too small. If the number of pyramid levels is chosen too large, the model may not be recognized in the image or it may be necessary to select very low parameters for MinScoreMinScoreMinScoreminScoremin_score or GreedinessGreedinessGreedinessgreedinessgreediness in find_planar_uncalib_deformable_modelfind_planar_uncalib_deformable_modelFindPlanarUncalibDeformableModelFindPlanarUncalibDeformableModelfind_planar_uncalib_deformable_model in order to find the model. If the number of pyramid levels is chosen too small, the time required to find the model in find_planar_uncalib_deformable_modelfind_planar_uncalib_deformable_modelFindPlanarUncalibDeformableModelFindPlanarUncalibDeformableModelfind_planar_uncalib_deformable_model increases. In these cases, the number of pyramid levels should be selected using the output of inspect_shape_modelinspect_shape_modelInspectShapeModelInspectShapeModelinspect_shape_model.

Angle and Scale parameters:

Note that the parameters AngleStartAngleStartAngleStartangleStartangle_start, AngleExtentAngleExtentAngleExtentangleExtentangle_extent, ScaleRMaxScaleRMaxScaleRMaxscaleRMaxscale_rmax, and ScaleCMaxScaleCMaxScaleCMaxscaleCMaxscale_cmax are not used by this operator. Instead, they have to be specified within the operator find_planar_uncalib_deformable_modelfind_planar_uncalib_deformable_modelFindPlanarUncalibDeformableModelFindPlanarUncalibDeformableModelfind_planar_uncalib_deformable_model. ScaleRMinScaleRMinScaleRMinscaleRMinscale_rmin and ScaleCMinScaleCMinScaleCMinscaleCMinscale_cmin can be relevant if you expect matches that are smaller than in the original image TemplateTemplateTemplatetemplatetemplate. Then, if NumLevelsNumLevelsNumLevelsnumLevelsnum_levels is set to 'auto'"auto""auto""auto""auto", the number of used pyramid levels may decrease.

Generally, the parameters AngleStepAngleStepAngleStepangleStepangle_step, ScaleRStepScaleRStepScaleRStepscaleRStepscale_rstep and ScaleCStepScaleCStepScaleCStepscaleCStepscale_cstep can be determined automatically. The automatically computed angle and scale step lengths can be queried using get_deformable_model_paramsget_deformable_model_paramsGetDeformableModelParamsGetDeformableModelParamsget_deformable_model_params. For more information about how these parameters work, please refer to the operator find_planar_uncalib_deformable_modelfind_planar_uncalib_deformable_modelFindPlanarUncalibDeformableModelFindPlanarUncalibDeformableModelfind_planar_uncalib_deformable_model.

OptimizationOptimizationOptimizationoptimizationoptimization:

For particularly large models, it may be useful to reduce the number of model points by setting OptimizationOptimizationOptimizationoptimizationoptimization to a value different from 'none'"none""none""none""none". If OptimizationOptimizationOptimizationoptimizationoptimization = 'none'"none""none""none""none", all model points are stored. In all other cases, the number of points is reduced according to the value of OptimizationOptimizationOptimizationoptimizationoptimization. If the number of points is reduced, it may be necessary in find_planar_uncalib_deformable_modelfind_planar_uncalib_deformable_modelFindPlanarUncalibDeformableModelFindPlanarUncalibDeformableModelfind_planar_uncalib_deformable_model to set the parameter ScoreScoreScorescorescore and GreedinessGreedinessGreedinessgreedinessgreediness to a smaller value as, e.g., 0.7 or 0.8. For small models, the reduction of the number of model points does not result in a speed-up of the search because in this case usually significantly more potential instances of the model must be examined. If OptimizationOptimizationOptimizationoptimizationoptimization is set to 'auto'"auto""auto""auto""auto", create_planar_uncalib_deformable_modelcreate_planar_uncalib_deformable_modelCreatePlanarUncalibDeformableModelCreatePlanarUncalibDeformableModelcreate_planar_uncalib_deformable_model automatically determines the reduction of the number of model points.

ContrastContrastContrastcontrastcontrast:

The parameter ContrastContrastContrastcontrastcontrast determines the contrast the model points (edges) must have. The contrast is a measure for local gray value differences between the object and the background and between different parts of the object. ContrastContrastContrastcontrastcontrast should be chosen such that only the significant features of the template are used for the model.

The following values can be set for ContrastContrastContrastcontrastcontrast:

A single contrast value. You can set:
- an integer value: the manually determined value is used.
- 'auto_contrast'"auto_contrast""auto_contrast""auto_contrast""auto_contrast": the contrast value is computed automatically.
Hysteresis thresholds. In this case, the model is segmented using a method similar to the hysteresis threshold method used in edges_imageedges_imageEdgesImageEdgesImageedges_image. For more information about the hysteresis threshold method, see hysteresis_thresholdhysteresis_thresholdHysteresisThresholdHysteresisThresholdhysteresis_threshold. You can set:
- A tuple of two values: The first value determines the lower threshold, the second value determines the upper threshold.
- 'auto'"auto""auto""auto""auto" (default value) or 'auto_contrast_hyst'"auto_contrast_hyst""auto_contrast_hyst""auto_contrast_hyst""auto_contrast_hyst": The hysteresis thresholds are computed automatically.

In certain cases, it might happen that the automatic determination of the contrast thresholds is not satisfying. For example, a manual setting of these parameters should be preferred if certain model components should be included or suppressed because of application-specific reasons or if the object contains several different contrasts. Therefore, the contrast thresholds should be automatically determined with determine_deformable_model_paramsdetermine_deformable_model_paramsDetermineDeformableModelParamsDetermineDeformableModelParamsdetermine_deformable_model_params and subsequently verified using inspect_shape_modelinspect_shape_modelInspectShapeModelInspectShapeModelinspect_shape_model before calling create_planar_uncalib_deformable_modelcreate_planar_uncalib_deformable_modelCreatePlanarUncalibDeformableModelCreatePlanarUncalibDeformableModelcreate_planar_uncalib_deformable_model. Note that MinContrastMinContrastMinContrastminContrastmin_contrast influences the automatic contrast estimation, and hence also the estimation of the minimum size.

MinContrastMinContrastMinContrastminContrastmin_contrast:

With MinContrastMinContrastMinContrastminContrastmin_contrast, it can be determined which minimal contrast the model must have in the recognition performed by find_planar_uncalib_deformable_modelfind_planar_uncalib_deformable_modelFindPlanarUncalibDeformableModelFindPlanarUncalibDeformableModelfind_planar_uncalib_deformable_model. In other words, this parameter separates the model from the noise in the image. Therefore, a good choice is the range of gray value changes caused by the noise in the image. If, for example, the gray values fluctuate within a range of 10 gray levels, MinContrastMinContrastMinContrastminContrastmin_contrast should be set to 10. Obviously, MinContrastMinContrastMinContrastminContrastmin_contrast must be smaller than ContrastContrastContrastcontrastcontrast. If the model should be recognized in very low contrast images, MinContrastMinContrastMinContrastminContrastmin_contrast must be set to a correspondingly small value. If the model should be recognized even if it is severely occluded, MinContrastMinContrastMinContrastminContrastmin_contrast should be slightly larger than the range of gray value fluctuations created by noise in order to ensure that the position and rotation of the model are extracted robustly and accurately by find_planar_uncalib_deformable_modelfind_planar_uncalib_deformable_modelFindPlanarUncalibDeformableModelFindPlanarUncalibDeformableModelfind_planar_uncalib_deformable_model. If MinContrastMinContrastMinContrastminContrastmin_contrast is set to 'auto'"auto""auto""auto""auto", the minimum contrast is determined automatically based on the noise in the model image. Consequently, an automatic determination only makes sense if the image noise during the recognition is similar to the noise in the model image. Furthermore, in some cases it is advisable to increase the automatically determined value in order to increase the robustness against occlusions (see above). The automatically computed minimum contrast can be queried using get_deformable_model_paramsget_deformable_model_paramsGetDeformableModelParamsGetDeformableModelParamsget_deformable_model_params. The MinContrastMinContrastMinContrastminContrastmin_contrast of a deformable model can later be changed with the help of set_deformable_model_paramset_deformable_model_paramSetDeformableModelParamSetDeformableModelParamset_deformable_model_param.

MetricMetricMetricmetricmetric:

The parameter MetricMetricMetricmetricmetric determines the conditions under which the model is recognized in the image. If MetricMetricMetricmetricmetric = 'use_polarity'"use_polarity""use_polarity""use_polarity""use_polarity", the object in the image and the model must have the same contrast. If, for example, the model is a bright object on a dark background, the object is found only if it is also brighter than the background. If MetricMetricMetricmetricmetric = 'ignore_global_polarity'"ignore_global_polarity""ignore_global_polarity""ignore_global_polarity""ignore_global_polarity", the object is found in the image also if the contrast reverses globally. In the above example, the object hence is also found if it is darker than the background. The runtime of find_planar_uncalib_deformable_modelfind_planar_uncalib_deformable_modelFindPlanarUncalibDeformableModelFindPlanarUncalibDeformableModelfind_planar_uncalib_deformable_model will increase slightly in this case. If MetricMetricMetricmetricmetric = 'ignore_part_polarity'"ignore_part_polarity""ignore_part_polarity""ignore_part_polarity""ignore_part_polarity", the the contrast polarity is allowed to change only between different parts of the model, whereas the polarity of model points that are within the same model part must not change. Please note that the term 'ignore_part_polarity'"ignore_part_polarity""ignore_part_polarity""ignore_part_polarity""ignore_part_polarity" is capable of being misunderstood. It means that polarity changes between neighboring model parts do not influence the score, and hence are ignored. If MetricMetricMetricmetricmetric = 'ignore_local_polarity'"ignore_local_polarity""ignore_local_polarity""ignore_local_polarity""ignore_local_polarity", the model is found even if the contrast changes for each individual model point. This mode can, for example, be useful if the object consists of a part with medium gray value, within which either darker or brighter sub-objects lie. In this case the runtime of find_planar_uncalib_deformable_modelfind_planar_uncalib_deformable_modelFindPlanarUncalibDeformableModelFindPlanarUncalibDeformableModelfind_planar_uncalib_deformable_model increases significantly. The above four metrics can only be applied to single-channel images. If a multichannel image is used as the model image or as the search image only the first channel will be used (and no error message will be returned). If MetricMetricMetricmetricmetric = 'ignore_color_polarity'"ignore_color_polarity""ignore_color_polarity""ignore_color_polarity""ignore_color_polarity", the model is found even if the color contrast changes locally. This is, for example, the case if parts of the object can change their color, e.g., from red to green. In particular, this mode is useful if it is not known in advance in which channels the object is visible. In this mode, the runtime of find_planar_uncalib_deformable_modelfind_planar_uncalib_deformable_modelFindPlanarUncalibDeformableModelFindPlanarUncalibDeformableModelfind_planar_uncalib_deformable_model can also increase significantly. The metric 'ignore_color_polarity'"ignore_color_polarity""ignore_color_polarity""ignore_color_polarity""ignore_color_polarity" can be used for images with an arbitrary number of channels. If it is used for single-channel images it has the same effect as 'ignore_local_polarity'"ignore_local_polarity""ignore_local_polarity""ignore_local_polarity""ignore_local_polarity". It should be noted that for MetricMetricMetricmetricmetric = 'ignore_color_polarity'"ignore_color_polarity""ignore_color_polarity""ignore_color_polarity""ignore_color_polarity" the number of channels in the model creation with create_planar_uncalib_deformable_modelcreate_planar_uncalib_deformable_modelCreatePlanarUncalibDeformableModelCreatePlanarUncalibDeformableModelcreate_planar_uncalib_deformable_model and in the search with find_planar_uncalib_deformable_modelfind_planar_uncalib_deformable_modelFindPlanarUncalibDeformableModelFindPlanarUncalibDeformableModelfind_planar_uncalib_deformable_model can be different. This can, for example, be used to create a model from a synthetically generated single-channel image. Furthermore, it should be noted that the channels do not need to contain a spectral subdivision of the light (like in an RGB image). The channels can, for example, also contain images of the same object that were obtained by illuminating the object from different directions.

GenParamNameGenParamNameGenParamNamegenParamNamegen_param_name, GenParamValueGenParamValueGenParamValuegenParamValuegen_param_value:

With the help of the generic parameters GenParamNameGenParamNameGenParamNamegenParamNamegen_param_name and GenParamValueGenParamValueGenParamValuegenParamValuegen_param_value, the user can set parameters for the deformable model generation.

The following parameters can be set for GenParamNameGenParamNameGenParamNamegenParamNamegen_param_name.

'part_size'"part_size""part_size""part_size""part_size":

Adapts the average size of the sub-parts that the deformable model should consist of. For objects that consist of many small contours, 'small'"small""small""small""small" should be selected. For objects that consist of only big contours, 'big'"big""big""big""big" should be set.

List of values: 'small'"small""small""small""small", 'medium'"medium""medium""medium""medium", 'big'"big""big""big""big"

Default: 'big'"big""big""big""big".

'min_size'"min_size""min_size""min_size""min_size":

Determines a threshold for the selection of significant model components based on the size of the components, i.e., components that have fewer points than the minimum size specified in the corresponding GenParamValueGenParamValueGenParamValuegenParamValuegen_param_value are suppressed. This threshold for the minimum size is divided by two for each successive pyramid level. 'min_size'"min_size""min_size""min_size""min_size" can be set to an arbitrary integer value greater or equal 0. It can also be set to 'auto'"auto""auto""auto""auto" which means that the minimum size will be determined automatically.

Default: 'auto'"auto""auto""auto""auto"

The center of gravity of the domain (region) of the model image TemplateTemplateTemplatetemplatetemplate is used as the origin (reference point) of the model. A different origin for the model can be set with set_deformable_model_originset_deformable_model_originSetDeformableModelOriginSetDeformableModelOriginset_deformable_model_origin.

Execution Information

Multithreading type: reentrant (runs in parallel with non-exclusive operators).
Multithreading scope: global (may be called from any thread).
Processed without parallelization.

This operator returns a handle. Note that the state of an instance of this handle type may be changed by specific operators even though the handle is used as an input parameter by those operators.

Parameters

TemplateTemplateTemplatetemplatetemplate (input_object) (multichannel-)image → object (byte / uint2)

Input image whose domain will be used to create the model.

NumLevelsNumLevelsNumLevelsnumLevelsnum_levels (input_control) integer → (integer / string)

Maximum number of pyramid levels.

Default: 'auto' "auto" "auto" "auto" "auto"

List of values: 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 'auto'"auto""auto""auto""auto"

AngleStartAngleStartAngleStartangleStartangle_start (input_control) angle.rad-array → (real)

This parameter is not used.

Default: []

AngleExtentAngleExtentAngleExtentangleExtentangle_extent (input_control) angle.rad-array → (real)

This parameter is not used.

Default: []

AngleStepAngleStepAngleStepangleStepangle_step (input_control) angle.rad → (real / string)

Step length of the angles (resolution).

Default: 'auto' "auto" "auto" "auto" "auto"

Suggested values: 'auto'"auto""auto""auto""auto", 0.0175, 0.0349, 0.0524, 0.0698, 0.0873

Restriction: AngleStep > 0 && AngleStep <= pi / 16

ScaleRMinScaleRMinScaleRMinscaleRMinscale_rmin (input_control) number → (real)

Minimum scale of the pattern in row direction.

Default: 1.0

Suggested values: 0.5, 0.6, 0.7, 0.8, 0.9, 1.0

Restriction: ScaleRMin > 0

ScaleRMaxScaleRMaxScaleRMaxscaleRMaxscale_rmax (input_control) number-array → (real)

This parameter is not used.

Default: []

ScaleRStepScaleRStepScaleRStepscaleRStepscale_rstep (input_control) number → (real / string)

Scale step length (resolution) in row direction.

Default: 'auto' "auto" "auto" "auto" "auto"

Suggested values: 'auto'"auto""auto""auto""auto", 0.01, 0.02, 0.05, 0.1, 0.15, 0.2

Restriction: ScaleRStep >= 0

ScaleCMinScaleCMinScaleCMinscaleCMinscale_cmin (input_control) number → (real)

Minimum scale of the pattern in column direction.

Default: 1.0

Suggested values: 0.5, 0.6, 0.7, 0.8, 0.9, 1.0

Restriction: ScaleCMin > 0

ScaleCMaxScaleCMaxScaleCMaxscaleCMaxscale_cmax (input_control) number-array → (real)

This parameter is not used.

Default: []

ScaleCStepScaleCStepScaleCStepscaleCStepscale_cstep (input_control) number → (real / string)

Scale step length (resolution) in column direction.

Default: 'auto' "auto" "auto" "auto" "auto"

Suggested values: 'auto'"auto""auto""auto""auto", 0.01, 0.02, 0.05, 0.1, 0.15, 0.2

Restriction: ScaleCStep >= 0

OptimizationOptimizationOptimizationoptimizationoptimization (input_control) string(-array) → (string)

Kind of optimization used for generating the model.

Default: 'none' "none" "none" "none" "none"

List of values: 'auto'"auto""auto""auto""auto", 'none'"none""none""none""none", 'point_reduction_high'"point_reduction_high""point_reduction_high""point_reduction_high""point_reduction_high", 'point_reduction_low'"point_reduction_low""point_reduction_low""point_reduction_low""point_reduction_low", 'point_reduction_medium'"point_reduction_medium""point_reduction_medium""point_reduction_medium""point_reduction_medium"

MetricMetricMetricmetricmetric (input_control) string → (string)

Match metric.

Default: 'use_polarity' "use_polarity" "use_polarity" "use_polarity" "use_polarity"

List of values: 'ignore_color_polarity'"ignore_color_polarity""ignore_color_polarity""ignore_color_polarity""ignore_color_polarity", 'ignore_global_polarity'"ignore_global_polarity""ignore_global_polarity""ignore_global_polarity""ignore_global_polarity", 'ignore_local_polarity'"ignore_local_polarity""ignore_local_polarity""ignore_local_polarity""ignore_local_polarity", 'ignore_part_polarity'"ignore_part_polarity""ignore_part_polarity""ignore_part_polarity""ignore_part_polarity", 'use_polarity'"use_polarity""use_polarity""use_polarity""use_polarity"

ContrastContrastContrastcontrastcontrast (input_control) number-array → (integer / string)

Thresholds or hysteresis thresholds for the contrast of the object in the template image.

Default: 'auto' "auto" "auto" "auto" "auto"

Suggested values: 'auto'"auto""auto""auto""auto", 10, 20, 30, 40, 60, 80, 100, 120, 140, 160

MinContrastMinContrastMinContrastminContrastmin_contrast (input_control) number → (integer / string)

Minimum contrast of the objects in the search images.

Default: 'auto' "auto" "auto" "auto" "auto"

Suggested values: 'auto'"auto""auto""auto""auto", 1, 2, 3, 5, 7, 10, 20, 30, 40

Restriction: MinContrast < Contrast

GenParamNameGenParamNameGenParamNamegenParamNamegen_param_name (input_control) string-array → (string)

The generic parameter names.

Default: []

List of values: [], 'min_size'"min_size""min_size""min_size""min_size", 'part_size'"part_size""part_size""part_size""part_size"

GenParamValueGenParamValueGenParamValuegenParamValuegen_param_value (input_control) integer-array → (integer / real / string)

Values of the generic parameter.

Default: []

List of values: [], 'big'"big""big""big""big", 'medium'"medium""medium""medium""medium", 'small'"small""small""small""small"

ModelIDModelIDModelIDmodelIDmodel_id (output_control) deformable_model → (handle)

Handle of the model.

Result

If the parameters are valid, the operator create_planar_uncalib_deformable_modelcreate_planar_uncalib_deformable_modelCreatePlanarUncalibDeformableModelCreatePlanarUncalibDeformableModelcreate_planar_uncalib_deformable_model returns the value 2 ( H_MSG_TRUE) . If necessary an exception is raised.

Possible Predecessors

determine_deformable_model_paramsdetermine_deformable_model_paramsDetermineDeformableModelParamsDetermineDeformableModelParamsdetermine_deformable_model_params

Possible Successors

set_deformable_model_originset_deformable_model_originSetDeformableModelOriginSetDeformableModelOriginset_deformable_model_origin, set_deformable_model_paramset_deformable_model_paramSetDeformableModelParamSetDeformableModelParamset_deformable_model_param, get_deformable_model_contoursget_deformable_model_contoursGetDeformableModelContoursGetDeformableModelContoursget_deformable_model_contours, find_planar_uncalib_deformable_modelfind_planar_uncalib_deformable_modelFindPlanarUncalibDeformableModelFindPlanarUncalibDeformableModelfind_planar_uncalib_deformable_model, get_deformable_model_paramsget_deformable_model_paramsGetDeformableModelParamsGetDeformableModelParamsget_deformable_model_params, write_deformable_modelwrite_deformable_modelWriteDeformableModelWriteDeformableModelwrite_deformable_model, clear_deformable_modelclear_deformable_modelClearDeformableModelClearDeformableModelclear_deformable_model

Alternatives

read_deformable_modelread_deformable_modelReadDeformableModelReadDeformableModelread_deformable_model

Module

Matching

Operators

Operator Reference

create_planar_uncalib_deformable_modelT_create_planar_uncalib_deformable_modelCreatePlanarUncalibDeformableModelCreatePlanarUncalibDeformableModelcreate_planar_uncalib_deformable_model (Operator)

Signature

Description

Input parameters in detail

Execution Information

Parameters

Result

Possible Predecessors

Possible Successors

Alternatives

Module

create_planar_uncalib_deformable_modelCreatePlanarUncalibDeformableModelCreatePlanarUncalibDeformableModelcreate_planar_uncalib_deformable_model (Operator)