Difference between revisions of "2016 Summer Project Week/CameraTutorial"
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<h3>Progress</h3> | <h3>Progress</h3> | ||
| − | * | + | * Productive discussions and demos |
| + | ** time of flight range camera | ||
| + | ** HD cameras | ||
| + | ** C++ API and relation to utility software configuration | ||
| + | ** Integration of C++ API with OpenCV for object detection | ||
| + | * First pass of tutorial slides | ||
| + | ** Part 1: controlling cameras and capturing images | ||
| + | ** Part 2: analysing images with OpenCV | ||
| + | ** Part 3: sending images and/or tracked object data via OpenIGTLink | ||
</div> | </div> | ||
</div> | </div> | ||
Latest revision as of 11:12, 24 June 2016
Home < 2016 Summer Project Week < CameraTutorial
Key Investigators
- Peter Behringer
- Santhirarajah Mathimugan
- Steve Pieper
Project Description
Objective
- a tutorial that explains:
- a) how to connect a dart USB camera from Basler to a PC
- b) grab the images
- c) write a simple program in C++ for simple object detection.
Approach, Plan
- Investigate and document examples for
- how to control camera parameters from C++ and python
- how to send images over OpenIGTLink
- how to interface with OpenCV
- how to interface with VTK
- how to integrate a Basler camera in Slicer and make a custom Slicelet
- Develop a plan for the tutorial
- identify target audience
- define high priority topics
- create learning objectives and prerequisite list
- decide on best publishing method (wiki page? ppt?)
- make plans for evaluating and improving content based on trainee feedback
Progress
- Productive discussions and demos
- time of flight range camera
- HD cameras
- C++ API and relation to utility software configuration
- Integration of C++ API with OpenCV for object detection
- First pass of tutorial slides
- Part 1: controlling cameras and capturing images
- Part 2: analysing images with OpenCV
- Part 3: sending images and/or tracked object data via OpenIGTLink
