> 2) would You take such task, and if so, then
>  a) how much would it take You to write such program probably (the
>    algorithms + simple GUI to test)

My friend took around 6 months full time to do his project, but he was a 
student, so let's say 3 months in the real world ;-)

>  b) how much money would You want for it

I would expect a maximum of around 6000 GBP.  Much more than that and you 
could pay a CS graduate student to do it for you.

> 3) any ideas how to implement this?

> * detect smooth light and extend selection
> * detect smooth shadows
> * detect lighting changees (i.e. the window light-shadow on floor of 
> room1)
> * detect a pattern (bricks in room3) and do NOT extend if the color is 
> same

I would first run an algorithm to classify the image into different parts, 
like "floor", "wall", "bed", "door" etc.  There are already algorithms to do 
this (actually a friend of mine did this for his final year project at 
university).  Then using the input points from the user you can decide which 
parts to colour.

To actually classify different parts of the image, the maths is fairly 
hardcore.  I'm sure you can find lots of material online about it, I would 
say it's best to convert your image to HSV and then write some pattern 
matching algorithm to give each pixel a unique "group number" value.  You 
might want to look at fourier and wavelet transofrms to help with the 
pattern matching.

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