Image process & recognition implementation on Linux. How to?

Usually I develop image processing or recognition programs on windows. But I got a customer who requires me to implement one on Linux platform.

Because his platform is embedded system, I don't know for sure that OpenCV would be available. Could anyone give me some clue to get 开发者_Python百科started?

You can package OpenCV with your application.

The word 'embedded' makes me nervous - image recognition can be very computationally expensive. You may need to roll your own code to fit the target constraints.

The starting point of your own code is likely to implement a Haar-like recogniser. This is of course what you'd likely be using OpenCV to do. A more ambitious recogniser is HOG. Here's a nice comparison of them.

OpenCV is in standard repositories for Ubuntu and/or Debian Linux. As such it should run on many processors including ARM. If it runs a full Debian, it is a matter of apt-cache search opencv, then install the modules you want via apt-get install.

The big gotcha is the embedded part. If it doesn't run a full Linux, then you may end up compiling for a very long time. Cross your fingers it runs a full Linux (like Debian.)

Adaboost should be a good fit for use as a learning algorithm. Paul Viola and Michael Jones have an interesting paper on efficient face detection using Adaboost and Haar classifiers. There's a lot of math there, but it's worth reading.