Hi,

Bald Eagle writes:
> I hope to see more of your work - it looks like you are lucky enough to
 work on
> a very fun and enjoyable project.
> 
> All the best.
> 
> Bill Walker

I made a WEB page to explain how to approximate the 2D transformations
of the images, in order to model 3D position of the camera in space :

<http://hebergement.u-psud.fr/lecoat/demoweb/camera_localization.html>

I used a video sequence, extracted from <http://www.ipol.im/> web site,
and took the first image of the sequence as a position reference, to
approximate the movement of following ones. So I evaluated the position
in space, and rendered it with POV-Ray. Then, when the camera is too far
from the reference position, and the correlation range is below 50%, I
took a new reference image.

All along the video sequence, the 3D localization of the camera is
estimated, thanks to the image contents of the sequence, and the
position is represented with the POV-Ray transformations. 8 transforms
are used : <Tx,Ty,Tz> translations in pixels, <Rx,Ry,Rz> pitch, yaw and
roll rotations in degrees, and <Sx,Sy> skew (or shear) angles in degrees

Here is the video <http://www.youtube.com/watch?v=vfFDIQj4ZAA> of the 3
D
camera localization result, and the original sequence that I used :
<http://ipolvideo.ipol.im:5000/209/arc/A1/A0CA7D639E3A6266AF7A26D3F2C887/
input.mp4>
I'm happy that it works, because the movement of camera is very large =
)

You're welcome to comment ...

Thanks again for your help.

Best regards,

-- 

<http://eureka.atari.org/>

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