Click here to Skip to main content
13,252,362 members (59,326 online)
Rate this:
Please Sign up or sign in to vote.
See more:
Hi all,

I have an idea that I want to put in practice and don't know where to start with documentation.

The same way photo cameras can recognize face, I want to create a tool that recognize train tracks from Google maps, Yahoo maps, .. so on. The source doesn't matter, it should be some mathematics involved for sure.

Some satelitte images are not clear enough and my software will need to put the pieces together even for blured/shaded portions of the tracks.
Some facts are to be useful such as train tracks are most of the time paralel to each other, track points usualy have the same shape (especially in a sorting yard it's highly possible that all points have the same radius).
Just as for train modelling, there are predefined track portions with already known length and radius so the software should go through available shapes and return the best match.

Any ideas are welcomed. Once again, I am posting here in order to narrow the search for the right techniques for image recognition, shape matching or what ever should be called that applies to my problem.

Thanks a million,
Posted 2-Jun-13 4:20am

1 solution

Rate this: bad
Please Sign up or sign in to vote.

Solution 1

Any image processing I've ever needed to do, I searched for SIGRAPH[^] as well as my search terms, and found a paper that explained the math, then I wrote the code from there. This is a pretty vague request, I'm not sure how much more anyone can help you, unless someone knows of an existing library. Face recognition is very possible, as you've seen, but it's not a trivial task.

This content, along with any associated source code and files, is licensed under The Code Project Open License (CPOL)

  Print Answers RSS
Top Experts
Last 24hrsThis month

Advertise | Privacy |
Web02 | 2.8.171114.1 | Last Updated 2 Jun 2013
Copyright © CodeProject, 1999-2017
All Rights Reserved. Terms of Service
Layout: fixed | fluid

CodeProject, 503-250 Ferrand Drive Toronto Ontario, M3C 3G8 Canada +1 416-849-8900 x 100