Intel RealSense D400 Series, Руководство пользователя

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Developing Custom Calibration Application
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examples contains all Calibration API examples and related files. The
CustomCalibration sample app source is under CustomCalibration folder.
OpenCV 3.3 is not included. To compile the CustomCalibration sample app, user will need to set
it up so that the OpenCV header files and libraries is under
CalibrationToolAPI\2.5.2.0.
OpenCV setup is discussed in section
3.2.4 “OpenCV 3.3.0” earlier in this document.
CalibrationToolAPI
|
|-------- 2.5.2.0
| |-------- OpenCV
| | |-------- OpenCV330
| | | |-------- include
| | | | |--------opencv
| | | | |--------opencv2
| | | |
| | | |-------- x64
| | | | |--------
vc14
To build the project, open the CustomCalibrationTest.sln under
examples\CustomCalibration with Visual Studio 2015 and build “Release” “x64”.
5.2 Calibration Mode Camera Configuration
For calibration, the camera device needs to be configured to capture calibration
images for both depth and RGB camera using LibRealSense. Basic device operations
are defined in Rs400Dev.h and Rs400Dev.cpp. The Configurations for the device is
defined in CalibrationManager.h and CalibrationManager.cpp.
5.2.1 Emitter
The emitter should be turned off during calibration to avoid interference.
Sample code in Rs400Device:
m_rsDevice->EnableEmitter(0.0f);
5.2.2 Auto Exposure
Auto exposure should be turn on and the AE setpoint be adjusted according to lighting
condition. In indoor room lighting, a setpoint value around 500 – 800 should be
sufficient. In outdoor, 1200 or higher.
m_rsDevice->EnableAutoExposure(1.0f);
if (m_cameraInfo.isWide)