Model, Drive Control

Vr Mapping

ON-LINE REFERENCE DOCUMENTATION

CARDINAL SYSTEMS, LLC

www.cardinalsystems.net

Model, Drive Control (ModDrC)

Type: Stereo Model Management

Drives to all control points in all models to generate a report of control point measurements in models.

Detailed Description

This application drive the operator from model to model to measure all the control points in the block in every model that see them. The measurements are used to generate a report of the accuracy of the models. In order to use the tool you must first open multiple models in the Model Manager (ModMan).

Procedure

1. Open multiple models in Model Manger (ModMan).

2. Start Model, Drive Control (ModDrC). The first menu allows the user to edit the parameters and chose a control file before beginning the measurement process.

ModDrCMenuStart

The model precision application menu.

F1, or left click	Start the measurements
F7	Allows access to the user parameters discussed above. Parameter descriptions are given in step 3 below.
F12	Close application

3. You may also wish to change the parameters:

ModDrCParams

Parameters:

Control input mode	When model files are created, the active control point are saved. The application can use these saved points or a different selected control file.
Alternative control file	If the control input mode is "Selected control file", the control in this file will be used.
Random Motion Distance	When driving to points the cursor is shifted randomly in all three axes in order to keep measurements independent. This can be disabled by setting this value to zero, but leaving it at least several times the GSD is highly recommended.
Show model data	There is an optional block of data that shows the model name, the residuals from the mean measurement, the pixel radius (percent of the distance from the image center to the corner), and the image names for each model (see the example in step 6).
File recording mode	User can chose to record nothing to the output file, append to output file, or overwrite the output file
Output file	The path to the output file

4. Left click or push F1 to start measuring. The application will drive to all the points to measure. The menu options during this phase.

ModDrCMenuMeasure

F1, or left click	Measure the control point at the cursor location, and then move to the next point.
F2	If a point is too close the edge of the model or obscured you can skip a model.
F4	A bail out to restart the process (all measurements will be lost).
F5	Records the data collected so far to the output file. This does not delete any data or prevent the process from continuing.
F7	Allows access to the user parameters discussed in step 3 above. Note that change the "control input mode" or the the "alternative control file" will cause the process to restart and all measurements will be lost.
F12	Exit the application. All measurements will be lost.

Your progress through the stack of models is show on the main window as shown below.

ModDrCProgress

6. The accuracy statistics are saved to the output file. Below is an example with model specific data turned on. Root mean squared error, or RMSE, is with regard to the differences of individual measurements from the control coordinate. The maximum differences are the maximum deviations from the mean in each axial direction. RadL and RadR are descriptions of how far a point was away from the center of the raw image. 100% is as far away as possible, 0% is exactly in the center.

Combined Measurement Statistics

Total Control Points: 9

Total Measurements: 27

Root mean squared errors: 0.066 0.100 0.126

Maximum differences: 0.154 0.013 0.057

Minimum differences: -0.108 -0.192 -0.260

Point: 6096047 measured in 4 models.

Root mean squared errors: 0.074 0.107 0.125

Maximum differences: 0.100 -0.081 0.057

Control location: 1341430.407 863156.506 4016.130

Model specific Data

ModelName resX resY resZ RadL RadR LeftImage RightImage

1_0009_1_0010.vmo 0.100 -0.123 -0.163 44.649% 31.224% 1_0009_1_0010-L-1_0009.tif 1_0009_1_0010-R-1_0010.tif

1_0010_1_0011.vmo 0.015 -0.122 -0.091 31.228% 60.627% 1_0010_1_0011-L-1_0010.tif 1_0010_1_0011-R-1_0011.tif

2_0022_2_0023.vmo -0.108 -0.095 -0.155 11.108% 52.828% 2_0022_2_0023-L-2_0023.tif 2_0022_2_0023-R-2_0022.tif

2_0023_2_0024.vmo 0.008 -0.081 0.057 31.456% 11.101% 2_0023_2_0024-L-2_0024.tif 2_0023_2_0024-R-2_0023.tif

Point: 656 measured in 4 models.

Root mean squared errors: 0.066 0.150 0.156

Maximum differences: 0.120 -0.103 -0.003

Control location: 1343154.058 862869.793 4005.250

Model specific Data

ModelName resX resY resZ RadL RadR LeftImage RightImage

1_0012_1_0013.vmo 0.120 -0.155 -0.260 62.483% 50.704% 1_0012_1_0013-L-1_0012.tif 1_0012_1_0013-R-1_0013.tif

1_0013_1_0014.vmo -0.008 -0.103 -0.111 50.705% 65.060% 1_0013_1_0014-L-1_0013.tif 1_0013_1_0014-R-1_0014.tif

2_0019_2_0020.vmo 0.012 -0.192 -0.131 24.920% 53.391% 2_0019_2_0020-L-2_0020.tif 2_0019_2_0020-R-2_0019.tif

2_0020_2_0021.vmo 0.055 -0.136 -0.003 38.747% 24.917% 2_0020_2_0021-L-2_0021.tif 2_0020_2_0021-R-2_0020.tif

Point: 6156047RESET measured in 4 models.

Root mean squared errors: 0.066 0.085 0.064

Maximum differences: 0.089 -0.055 0.029

Control location: 1343310.210 864008.182 3978.440

Model specific Data

ModelName resX resY resZ RadL RadR LeftImage RightImage

1_0012_1_0013.vmo 0.089 -0.098 0.023 63.483% 38.545% 1_0012_1_0013-L-1_0012.tif 1_0012_1_0013-R-1_0013.tif

1_0013_1_0014.vmo 0.064 -0.079 0.029 38.545% 52.193% 1_0013_1_0014-L-1_0013.tif 1_0013_1_0014-R-1_0014.tif

2_0019_2_0020.vmo -0.043 -0.055 -0.112 62.599% 72.354% 2_0019_2_0020-L-2_0020.tif 2_0019_2_0020-R-2_0019.tif

2_0020_2_0021.vmo 0.061 -0.100 -0.046 79.413% 62.599% 2_0020_2_0021-L-2_0021.tif 2_0020_2_0021-R-2_0020.tif

Point: 6086047RESET measured in 4 models.

Root mean squared errors: 0.090 0.104 0.118

Maximum differences: 0.154 -0.082 -0.011

Control location: 1340546.900 862936.033 4054.010

Model specific Data

ModelName resX resY resZ RadL RadR LeftImage RightImage

1_0007_1_0008.vmo 0.154 -0.130 -0.202 70.131% 50.225% 1_0007_1_0008-L-1_0007.tif 1_0007_1_0008-R-1_0008.tif

1_0008_1_0009.vmo 0.085 -0.085 -0.110 50.224% 62.514% 1_0008_1_0009-L-1_0008.tif 1_0008_1_0009-R-1_0009.tif

2_0024_2_0025.vmo -0.016 -0.082 -0.056 24.135% 43.869% 2_0024_2_0025-L-2_0025.tif 2_0024_2_0025-R-2_0024.tif

2_0025_2_0026.vmo 0.030 -0.109 -0.011 52.021% 24.138% 2_0025_2_0026-L-2_0026.tif 2_0025_2_0026-R-2_0025.tif

Point: 6136047RESET measured in 1 models.

Root mean squared errors: 0.007 0.114 0.041

Maximum differences: 0.007 -0.114 -0.041

Control location: 1338584.006 863196.732 4060.290

Model specific Data

ModelName resX resY resZ RadL RadR LeftImage RightImage

2_0028_2_0029.vmo 0.007 -0.114 -0.041 16.280% 26.182% 2_0028_2_0029-L-2_0029.tif 2_0028_2_0029-R-2_0028.tif

Point: 6116047 measured in 3 models.

Root mean squared errors: 0.024 0.053 0.126

Maximum differences: 0.038 0.013 0.005

Control location: 1340660.240 864082.595 3999.920

Model specific Data

ModelName resX resY resZ RadL RadR LeftImage RightImage

1_0008_1_0009.vmo 0.038 0.013 -0.084 44.698% 51.758% 1_0008_1_0009-L-1_0008.tif 1_0008_1_0009-R-1_0009.tif

2_0024_2_0025.vmo -0.016 -0.000 -0.202 65.695% 71.952% 2_0024_2_0025-L-2_0025.tif 2_0024_2_0025-R-2_0024.tif

2_0025_2_0026.vmo 0.002 -0.090 0.005 82.368% 65.696% 2_0025_2_0026-L-2_0026.tif 2_0025_2_0026-R-2_0025.tif

Point: 45YRESET measured in 4 models.

Root mean squared errors: 0.077 0.076 0.119

Maximum differences: 0.103 -0.061 -0.006

Control location: 1340052.418 863570.699 4037.670

Model specific Data

ModelName resX resY resZ RadL RadR LeftImage RightImage

1_0006_1_0007.vmo 0.085 -0.089 -0.177 52.765% 7.645% 1_0006_1_0007-L-1_0006.tif 1_0006_1_0007-R-1_0007.tif

1_0007_1_0008.vmo 0.103 -0.068 -0.037 7.647% 35.497% 1_0007_1_0008-L-1_0007.tif 1_0007_1_0008-R-1_0008.tif

2_0025_2_0026.vmo 0.031 -0.082 -0.006 25.852% 43.126% 2_0025_2_0026-L-2_0026.tif 2_0025_2_0026-R-2_0025.tif

2_0026_2_0027.vmo 0.069 -0.061 -0.155 53.661% 25.852% 2_0026_2_0027-L-2_0027.tif 2_0026_2_0027-R-2_0026.tif

Point: C5133 measured in 2 models.

Root mean squared errors: 0.033 0.065 0.214

Maximum differences: 0.047 -0.047 -0.189

Control location: 1342293.507 863449.485 4005.610

Model specific Data

ModelName resX resY resZ RadL RadR LeftImage RightImage

1_0011_1_0012.vmo 0.047 -0.047 -0.189 15.175% 28.342% 1_0011_1_0012-L-1_0011.tif 1_0011_1_0012-R-1_0012.tif

2_0021_2_0022.vmo 0.001 -0.080 -0.237 24.088% 40.927% 2_0021_2_0022-L-2_0022.tif 2_0021_2_0022-R-2_0021.tif

Point: 6126047RESET measured in 1 models.

Root mean squared errors: 0.047 0.101 0.030

Maximum differences: 0.047 -0.101 0.030

Control location: 1338565.774 864105.968 4021.140

Model specific Data

ModelName resX resY resZ RadL RadR LeftImage RightImage

2_0028_2_0029.vmo 0.047 -0.101 0.030 65.589% 69.976% 2_0028_2_0029-L-2_0029.tif 2_0028_2_0029-R-2_0028.tif