Hi.
@K?re
I have a really simple problem compared to recognizing faces :) I try to
detect the square areas around pictures in the preview on a flatbed image
scanner.
Ah, I made a small, crude program named "Texas" a few weeks ago... it tries to detect "objects" in images - you can tune it's parameters to detect individual characters, words, lines, paragraphs, or images. It's made using openCV and written in C++.
Texas also has an option to parse a comic book page and extract the individual picture "boxes".
I had intended to use it for literally "compressing" text in scanned images - that is, if there's too much whitespace left between lines or words, you could move the lines/words a bit more "together" to save space in the image... maybe I'll implement it one day :)
Not sure how useful it would be to you, you might want to give it a try :
http://bitbucket.org/aditya_bhatt/texas/
Yep, as you and Michael noted 100*150 pixels is not enough for a group photo.
The situation is a bit different for the scanner. There you probably do not
want to have more than ~5 different selection and there a small resolution
image is enough.
The main idea could still be valid. The idea being to have a "two phase
detection". The first phase would does a very quick inaccurate search (false
positives?) and the second would only investigate the areas found in the first
phase.
I'll think about it...
--
Aditya Bhatt
My Blog :
http://adityabhatt.wordpress.com
_______________________________________________
Digikam-devel mailing list
[hidden email]
https://mail.kde.org/mailman/listinfo/digikam-devel
Locked
