15 #ifndef __IPSDKIPLATTRIBUTES_IPSDKIPLDATAITEM4LOGMESSAGES_H__ 16 #define __IPSDKIPLATTRIBUTES_IPSDKIPLDATAITEM4LOGMESSAGES_H__ 198 #endif // __IPSDKIPLATTRIBUTES_IPSDKIPLDATAITEM4LOGMESSAGES_H__ Number of super pixels along X.
Definition: IPSDKIPLDataItem4LogMessages.h:290
base points perturbation half range (in pixels)
Definition: IPSDKIPLDataItem4LogMessages.h:190
Number of channels used for computing features.
Definition: IPSDKIPLDataItem4LogMessages.h:126
RGB triplet.
Definition: IPSDKIPLDataItem4LogMessages.h:228
reference grid for tracking process
Definition: IPSDKIPLDataItem4LogMessages.h:202
Orientation in the XY-plane (3D only)
Definition: IPSDKIPLDataItem4LogMessages.h:36
estimated outlier flags
Definition: IPSDKIPLDataItem4LogMessages.h:282
data associated to a given stage of registration training phasis
Definition: IPSDKIPLDataItem4LogMessages.h:220
collection of sample points coordinates
Definition: IPSDKIPLDataItem4LogMessages.h:54
Node's index if the tree.
Definition: IPSDKIPLDataItem4LogMessages.h:158
used sigma for gaussian noise estimation
Definition: IPSDKIPLDataItem4LogMessages.h:242
Maximum translation constraint (in absolute values) for pure translation estimation (ignored if equal...
Definition: IPSDKIPLDataItem4LogMessages.h:252
Minimum matches validated by TranslationThetaThreshold for pure translation estimation.
Definition: IPSDKIPLDataItem4LogMessages.h:254
Node's index if the threshold's result is false.
Definition: IPSDKIPLDataItem4LogMessages.h:160
Random forest tree collection.
Definition: IPSDKIPLDataItem4LogMessages.h:146
Kernel cluster centroid representation.
Definition: IPSDKIPLDataItem4LogMessages.h:56
Entropy value.
Definition: IPSDKIPLDataItem4LogMessages.h:50
flag associated to estimation status
Definition: IPSDKIPLDataItem4LogMessages.h:266
Standard deviation along Z (3D only)
Definition: IPSDKIPLDataItem4LogMessages.h:42
Number of labels in the output image.
Definition: IPSDKIPLDataItem4LogMessages.h:150
algorithm type associated to robust estimation
Definition: IPSDKIPLDataItem4LogMessages.h:258
flag indicating whether simple estimation is allowed in case of small dataset without enough data to ...
Definition: IPSDKIPLDataItem4LogMessages.h:236
Collection of color pixels.
Definition: IPSDKIPLDataItem4LogMessages.h:118
interpolation policy used for image sampling during registration
Definition: IPSDKIPLDataItem4LogMessages.h:200
collection of reference intensities
Definition: IPSDKIPLDataItem4LogMessages.h:204
Scaling factors used for multiscale transformation training.
Definition: IPSDKIPLDataItem4LogMessages.h:196
collection of distances between successive z-plans of the image
Definition: IPSDKIPLDataItem4LogMessages.h:346
Describes random forest feature.
Definition: IPSDKIPLDataItem4LogMessages.h:136
transformation parameters
Definition: IPSDKIPLDataItem4LogMessages.h:332
Pearson correlation coefficient data item used to split the global Pearson measure.
Definition: IPSDKIPLDataItem4LogMessages.h:92
Collection of 64-bits unsigned integers.
Definition: IPSDKIPLDataItem4LogMessages.h:330
Matrix data associated to training results.
Definition: IPSDKIPLDataItem4LogMessages.h:216
used outlier range factor for processing
Definition: IPSDKIPLDataItem4LogMessages.h:244
algorithm statistical success ratio parameter
Definition: IPSDKIPLDataItem4LogMessages.h:248
Collection of kernel cluster centroids.
Definition: IPSDKIPLDataItem4LogMessages.h:60
configuration parameters for robust estimation
Definition: IPSDKIPLDataItem4LogMessages.h:256
Threshold value.
Definition: IPSDKIPLDataItem4LogMessages.h:164
Settings used for surfaces extraction.
Definition: IPSDKIPLDataItem4LogMessages.h:322
threshold on accumulation intensities for local maxima extraction
Definition: IPSDKIPLDataItem4LogMessages.h:260
Red value.
Definition: IPSDKIPLDataItem4LogMessages.h:226
algorithm type associated to data partition
Definition: IPSDKIPLDataItem4LogMessages.h:234
Sum along Z.
Definition: IPSDKIPLDataItem4LogMessages.h:310
eIPSDKIPLDataItem4Message
Enumerate describing messages.
Definition: IPSDKIPLDataItem4LogMessages.h:34
Y coordinate.
Definition: IPSDKIPLDataItem4LogMessages.h:112
data associated to training phasis of intensity based 2d registration algorithm
Definition: IPSDKIPLDataItem4LogMessages.h:208
Criterion for PCA reduction.
Definition: IPSDKIPLDataItem4LogMessages.h:82
#define DECLARE_LOG_MESSAGE_MAP(libraryName, enumTypeStr, enumSeq)
Half size or translation along X direction.
Definition: IPSDKIPLDataItem4LogMessages.h:130
Maximum shift needed for computing features.
Definition: IPSDKIPLDataItem4LogMessages.h:124
collection of by stage training data
Definition: IPSDKIPLDataItem4LogMessages.h:206
Signal orientation in 2D, orientation between the XY-plane and the Z-axis in 3D.
Definition: IPSDKIPLDataItem4LogMessages.h:44
Size Z.
Definition: IPSDKIPLDataItem4LogMessages.h:300
Weight factors for each elements of dictionary.
Definition: IPSDKIPLDataItem4LogMessages.h:58
Index of the feature used for the threshold.
Definition: IPSDKIPLDataItem4LogMessages.h:156
Number of non linear iteration proceeded, a null value stands for no non linear processing done...
Definition: IPSDKIPLDataItem4LogMessages.h:280
used policy for radial basis kernel parameters computation
Definition: IPSDKIPLDataItem4LogMessages.h:76
Collection of random forest tree.
Definition: IPSDKIPLDataItem4LogMessages.h:142
Settings used for surfaces extraction.
Definition: IPSDKIPLDataItem4LogMessages.h:324
Number of samples by training stages.
Definition: IPSDKIPLDataItem4LogMessages.h:194
estimation status message
Definition: IPSDKIPLDataItem4LogMessages.h:268
Settings used for surfaces extraction.
Definition: IPSDKIPLDataItem4LogMessages.h:326
minimum number of input data for a simple estimation
Definition: IPSDKIPLDataItem4LogMessages.h:276
Collection of random forest features.
Definition: IPSDKIPLDataItem4LogMessages.h:122
Describes a node parameters in a random forest tree.
Definition: IPSDKIPLDataItem4LogMessages.h:166
Collection of steps.
Definition: IPSDKIPLDataItem4LogMessages.h:344
tracking grid used during 2d tracking process
Definition: IPSDKIPLDataItem4LogMessages.h:188
Cartesian coordinates 2d.
Definition: IPSDKIPLDataItem4LogMessages.h:180
minimum ratio for sample assignment change (versus full number of samples) to consider that an iterat...
Definition: IPSDKIPLDataItem4LogMessages.h:68
Variance threshold.
Definition: IPSDKIPLDataItem4LogMessages.h:88
robust estimation results
Definition: IPSDKIPLDataItem4LogMessages.h:288
Parameter used to compute accuracy threshold for approximate linear dependence condition.
Definition: IPSDKIPLDataItem4LogMessages.h:74
Cartesian coordinates 2d.
Definition: IPSDKIPLDataItem4LogMessages.h:182
transformation parameters
Definition: IPSDKIPLDataItem4LogMessages.h:338
C coordinate.
Definition: IPSDKIPLDataItem4LogMessages.h:104
Size Y.
Definition: IPSDKIPLDataItem4LogMessages.h:298
Standard deviation along Y.
Definition: IPSDKIPLDataItem4LogMessages.h:40
number of estimated parameters
Definition: IPSDKIPLDataItem4LogMessages.h:272
structure allowing to encapsulate parameters for kernel kmeans clustering algorithm ...
Definition: IPSDKIPLDataItem4LogMessages.h:80
Random forest features.
Definition: IPSDKIPLDataItem4LogMessages.h:144
Standard deviation along X.
Definition: IPSDKIPLDataItem4LogMessages.h:38
Label assignment.
Definition: IPSDKIPLDataItem4LogMessages.h:170
Parameter used to compute radial basis kernel sigma value.
Definition: IPSDKIPLDataItem4LogMessages.h:78
Cartesian coordinates 2d.
Definition: IPSDKIPLDataItem4LogMessages.h:184
target number of buckets by axis
Definition: IPSDKIPLDataItem4LogMessages.h:230
Z coordianate.
Definition: IPSDKIPLDataItem4LogMessages.h:102
Collection of random forest tree nodes.
Definition: IPSDKIPLDataItem4LogMessages.h:154
Real size of super pixels.
Definition: IPSDKIPLDataItem4LogMessages.h:302
Matrix rank associated to training results.
Definition: IPSDKIPLDataItem4LogMessages.h:214
Parameters to define a Gabor signal.
Definition: IPSDKIPLDataItem4LogMessages.h:46
size of input data (size of each elements in input data set)
Definition: IPSDKIPLDataItem4LogMessages.h:270
motion transform type
Definition: IPSDKIPLDataItem4LogMessages.h:342
Feature's type.
Definition: IPSDKIPLDataItem4LogMessages.h:138
parameter used to update centers in the super pixels algorithm
Definition: IPSDKIPLDataItem4LogMessages.h:312
Position of a pixel/voxel in its image.
Definition: IPSDKIPLDataItem4LogMessages.h:108
maximum dictionary size by cluster
Definition: IPSDKIPLDataItem4LogMessages.h:66
List of features used for random forest pixel classification.
Definition: IPSDKIPLDataItem4LogMessages.h:128
Collection of errors ratio for each parameters (ratio between computed rms and input perturbation ran...
Definition: IPSDKIPLDataItem4LogMessages.h:212
cluster term value
Definition: IPSDKIPLDataItem4LogMessages.h:52
Definition of import/export macro for library.
outlier threshold estimated during processing
Definition: IPSDKIPLDataItem4LogMessages.h:262
Number of super pixels along Z.
Definition: IPSDKIPLDataItem4LogMessages.h:294
motion transform type
Definition: IPSDKIPLDataItem4LogMessages.h:336
X coordianate.
Definition: IPSDKIPLDataItem4LogMessages.h:98
Half size or translation along Z direction.
Definition: IPSDKIPLDataItem4LogMessages.h:134
Z coordinate.
Definition: IPSDKIPLDataItem4LogMessages.h:114
Collection of super pixel update centers.
Definition: IPSDKIPLDataItem4LogMessages.h:314
Collection of kernel cluster centroid representation.
Definition: IPSDKIPLDataItem4LogMessages.h:64
configuration for data partition algorithm associated to robust estimation
Definition: IPSDKIPLDataItem4LogMessages.h:238
flag indicating whether a robust estimation has been proceeded
Definition: IPSDKIPLDataItem4LogMessages.h:286
expected outlier ratio over population
Definition: IPSDKIPLDataItem4LogMessages.h:240
Number of super pixels along Y.
Definition: IPSDKIPLDataItem4LogMessages.h:292
informations for warp motion transformation 2d
Definition: IPSDKIPLDataItem4LogMessages.h:334
interpolation policy used for image sampling during registration
Definition: IPSDKIPLDataItem4LogMessages.h:192
maximum number of K-Means algorithm iterations for an attempt
Definition: IPSDKIPLDataItem4LogMessages.h:72
Image global entropy.
Definition: IPSDKIPLDataItem4LogMessages.h:48
Resolution of the feature.
Definition: IPSDKIPLDataItem4LogMessages.h:140
Collection of position and intensity of a color pixels.
Definition: IPSDKIPLDataItem4LogMessages.h:116
Random forest tree.
Definition: IPSDKIPLDataItem4LogMessages.h:172
Intensity values.
Definition: IPSDKIPLDataItem4LogMessages.h:94
minimum number of input data for a robust estimation
Definition: IPSDKIPLDataItem4LogMessages.h:278
configuration for registration training phasis
Definition: IPSDKIPLDataItem4LogMessages.h:198
Pixel with the intensity values for the different channels.
Definition: IPSDKIPLDataItem4LogMessages.h:96
Node's type.
Definition: IPSDKIPLDataItem4LogMessages.h:168
Complete model of the random forest.
Definition: IPSDKIPLDataItem4LogMessages.h:148
Blue value.
Definition: IPSDKIPLDataItem4LogMessages.h:222
threshold for outliers detection
Definition: IPSDKIPLDataItem4LogMessages.h:246
Parameters for sequence image dimensionality reduction using a PCA.
Definition: IPSDKIPLDataItem4LogMessages.h:86
Collection of super pixel update centers.
Definition: IPSDKIPLDataItem4LogMessages.h:316
Sum along Y.
Definition: IPSDKIPLDataItem4LogMessages.h:308
estimation residuals
Definition: IPSDKIPLDataItem4LogMessages.h:284
Collection elements.
Definition: IPSDKIPLDataItem4LogMessages.h:328
Cartesian coordinates 2d.
Definition: IPSDKIPLDataItem4LogMessages.h:186
Dimension used for computing features.
Definition: IPSDKIPLDataItem4LogMessages.h:120
Flag indicating whether we should process to surface approximation.
Definition: IPSDKIPLDataItem4LogMessages.h:318
Sub - sampling half step for marching cube step of surface extration.
Definition: IPSDKIPLDataItem4LogMessages.h:320
configuration parameters for data partition method used during robust estimation process ...
Definition: IPSDKIPLDataItem4LogMessages.h:232
Green value.
Definition: IPSDKIPLDataItem4LogMessages.h:224
informations for warp motion transformation 3d
Definition: IPSDKIPLDataItem4LogMessages.h:340
Expected number of sequence elements in output sequence image.
Definition: IPSDKIPLDataItem4LogMessages.h:84
estimated parameters
Definition: IPSDKIPLDataItem4LogMessages.h:264
T coordinate.
Definition: IPSDKIPLDataItem4LogMessages.h:106
number of input data available for estimation
Definition: IPSDKIPLDataItem4LogMessages.h:274
Number of pixels.
Definition: IPSDKIPLDataItem4LogMessages.h:304
Node's index if the threshold's result is true.
Definition: IPSDKIPLDataItem4LogMessages.h:162
Size X.
Definition: IPSDKIPLDataItem4LogMessages.h:296
collection of flags indicating coordinates validity for current training stage
Definition: IPSDKIPLDataItem4LogMessages.h:210
points perturbation half range (in pixels or voxels)
Definition: IPSDKIPLDataItem4LogMessages.h:218
Angle tolerance to filter the matches for pure translation estimation.
Definition: IPSDKIPLDataItem4LogMessages.h:250
data used during registration 2d tracking
Definition: IPSDKIPLDataItem4LogMessages.h:178
X coordinate.
Definition: IPSDKIPLDataItem4LogMessages.h:110
Half size or translation along Y direction.
Definition: IPSDKIPLDataItem4LogMessages.h:132
Random forest.
Definition: IPSDKIPLDataItem4LogMessages.h:152
Cartesian coordinates 2d.
Definition: IPSDKIPLDataItem4LogMessages.h:176
Sigma value used for radial basis kernel computation.
Definition: IPSDKIPLDataItem4LogMessages.h:62
number of attempts for KMeans algorithm
Definition: IPSDKIPLDataItem4LogMessages.h:70
Pearson correlation coefficient.
Definition: IPSDKIPLDataItem4LogMessages.h:90
threshold on accumulation intensities for local maxima extraction
Definition: IPSDKIPLDataItem4LogMessages.h:174
Sum along X.
Definition: IPSDKIPLDataItem4LogMessages.h:306
Y coordianate.
Definition: IPSDKIPLDataItem4LogMessages.h:100