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/*
 * Author: Lucian Carata, calucian[]yahoo.co.uk
 *
 * This was a project towards the fulfilment of my bachelor thesis
 * in the Automatic Control and Computer Engineering Faculty,
 * Techical University of Iasi, Romania
 *
 * B.Sc. Theme: 
 * () object recognition from video stream, 
 * (future work:) 3D object reconstruction from camera motion (SfM)
 
 * B.Sc. Deadline: 20.07.2009
 * Supervisor: Ph.D. Vasile Manta
 *
 * Current Status: Frozen (B.Sc Thesis Mark: 10/10)
 */


*** Note:

This code is written as part of my B.Sc. Thesis.
Please feel free to comment/send me suggestions or develop your own branches
from my code. I will try to post here the progress of my work, as well as
references to important articles in the field.

My B.Sc Thesis focuses on real-time object recognition (in video data), as an
aplication of the SURF algorithm, implemented on CPU, as well as GPU - CUDA).
The SURF algorithm should be used in the end as a first step in 3D object
modelling. [out of scope for the time being]

The interface of the application will be written in WPF/C# , and as such will
not be portable to linux environments. (This is due to my lack of knowledge/
experience in the GTK++ area, and the lack of time) 

Despite this, the library implementing the SURF algorithm is written in C++,
and will be tested on both windows/linux before release.

Practically, for making the whole application work under linux, one must write
two OS-specific layers: 
(i)  the Camera HAL Layer (image acquisition; using DirectShow on Windows)
(ii) the Presentation Layer (GUI; using WPF on Windows).

***