digiKam is an advanced digital photo management application for KDE desktop, which makes importing and organizing digital photos a "snap". The photos can be organized in albums which can be sorted chronologically, by directory layout or by custom collections.
Tired of the directory constraints?
... [More] Don’t worry, digiKam also provides tagging functionality. You tag your images which can be spread out across multiple folders and digiKam provides fast and intuitive ways to browse these tagged images. You can also add comments to your images. digiKam makes use of a fast and robust database to store these meta-informations which makes adding and editing of comments and tags very reliable. [Less]
There are plenty of examples that show how to use background subtraction and blob detection, but they are pretty terrible. This is a simple program that showcases background subtraction, blob detection, and face detection complete with code comments.
This uses the Processing.org
... [More] (http://processing.org) and OpenCV compiled for Java (http://ubaa.net/shared/processing/opencv/) libraries.
I've written this for the Eclipse environment but it could be easily changed for the Processing environment (just remove the class definition, the main function, and any 'public' tags). [Less]
this is a "human face detection" project for embeded system design course set by IC department in SJTU of China.
Our target is to make use of hardware module to speedup the detection process so that we can get the real-time performance on embeded processor, such as ppc, arm, etc.
Xu Jun (team organizer) firstname.lastname@example.org