Difference between revisions of "Team Commando"
From GcatWiki
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**process image to determine whether or not a window is open | **process image to determine whether or not a window is open | ||
| + | *Current dataset | ||
| + | **26 closed windows | ||
| + | **26 open windows | ||
| + | **https://www.dropbox.com/sh/hx5rwp9ilakwg5c/8Yf4twUjV1 | ||
*to-do: | *to-do: | ||
Revision as of 01:12, 1 May 2012
To Do
- command module navigation (Daniel and Matt)
- image processing (Steph, Evan, Jonah)
- decide on a camera
- abstract
Image Processing
- possible cameras
- http://www.logitech.com/en-us/webcam-communications/webcams/devices/6333
- http://us.playstation.com/ps3/accessories/playstation-eye-camera-ps3.html
- http://www.westernunion.com/wushop/category/product/304009645/search/Microsoft-LifeCam-VX-5000-Webcam---Red---Bulk/
- http://www.zagrosrobotics.com/shop/item.aspx?itemid=759
- software
- matlab toolbox
- http://homepages.inf.ed.ac.uk/rbf/BOOKS/PHILLIPS/cips2ed.pdf
- Roborealm
- method
- attach laptop to iRobot
- receive signal from robot when it has arrived in room
- use laptop to take image
- process image to determine whether or not a window is open
- Current dataset
- 26 closed windows
- 26 open windows
- https://www.dropbox.com/sh/hx5rwp9ilakwg5c/8Yf4twUjV1
- to-do:
-figure out physical orientation of computer/camera
-build training set: every possible window configuration
-figure out how to get the images... opencv documentation: http://opencv.willowgarage.com/documentation/cpp/features2d_common_interfaces_of_feature_detectors.html, http://opencv.willowgarage.com/wiki/CameraCapture
-decide on preprocessing method: threshhold, line detection, contrast upping, pulling out the windows, or doing none of that and trusting the neural net.
-figure out how to get the command module to tell comp when to take a picture
-get the neural net trained and tested
- Active Thoughts:
-RoboRealm seems sweeeeell.
- interface with MATLAB: http://www.mathworks.com/matlabcentral/fileexchange/22882
-current plan-ish:
- roborealm does processing and recieve signals from command module via serial port, then sends processed images ot matlab for NN classification. BOOM.
