From personal use

• sequential use of filters to search for information (principle)
  • as opposed to beautify in The Gimp
• learning tools available by default within the path
  • opencv_createsamples opencv_haartraining opencv_performance opencv_traincascade
• posture maintenance, eventually also physical exercises
  • posturemaintenance.py to push to Repository:.
  • Wikipedia:Haar-like features
  • http://opencv.willowgarage.com/wiki/FaceDetection
  • http://opencv.willowgarage.com/documentation/python/cascade_classification.html
  • Fun with Python, OpenCV and face detection by Jo Vermeulen, In Traction 2008
  • Python in Computer Vision Paper by Brian Thorne, Brian's Python Dev Blog 2010
• Testbed:Main/HomePage#ProblemSolvingBoard
  • to clarify

From YetAnotherTutorial

• this does that
• this other command is nice

See also

• AIClass#ImageProcessingAndComputerVision

To explore

• gesture recognition
• OCR and handwriting
  • http://blog.damiles.com/2008/11/basic-ocr-in-opencv/
• Learning OpenCV by Gary Bradski and Adrian Kaehler, O'Reilly Media 2008
• FPGA and OpenCV library, NUI Group Community Forums 2009
• openFrameworks (aka OF)
• login by showing a face using face detection and similarity
  • arrive and it selects the right wm and configuration per profile
  • password can still be asked once detection is done properly
  • consider retina for direct authentication
• Wikipedia:OpenNI aka Open Natural Interaction
  • http://www.openni.org
• http://www.pointclouds.org (PCL)
• http://code.google.com/p/aam-opencv/
• http://code.google.com/p/pam-face-authentication/
• imaging-demos at Open Xerox
• Computer Vision by Jitendra Malik, Coursera 2012

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Note

My notes on Tools gather what I know or want to know. Consequently they are not and will never be complete references. For this, official manuals and online communities provide much better answers.

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