Hi,

Francois LE COAT writes:
> Monocular Depth :
> 
> <https://www.youtube.com/watch?v=34zUDqEzHos>
> 
> A drone flies between the trees of a forest. Thanks to the optical-flow

> measured on successive images, the temporal disparity reveals the
> forest of trees... We take a reference image, the optical-flow is
> measured on two rectified images. Then we change the reference when
> the inter-correlation drops below 60%. We can perceive the relief in
> depth with a single camera, over time.
> 
> In fact, when we watch images captured by a drone, although there is
> only one camera, we often see the relief. This is particularly marked
> for trees in a forest. The goal here is to evaluate this relief, with a

> measurement of "optical-flow", which allows one image to be matched wit
h
> another, when they seem to be close (we say they are "correlated").
> 
> We have two eyes, and the methods for measuring visible relief by 
> stereoscopy are very developed. Since the beginning of photography,
> there were devices like the “stereoscope” which allows 
you to see the
> relief with two pictures, naturally. It is possible to measure relief,
> thanks to epipolar geometry, and well-known mathematics. There are many

> measurement methods, very effective and based on human vision.
> 
> When it comes to measuring relief with a single camera, knowledge is
> less established. There are 3D cameras, called "RGBD" with a "D" for 
> "depth". But how do they work? Is it possible to improve those? What
> I am showing here does not require the use of any “artificial n
eural
> network”. It is a physical measurement, with a classic algorith
m,
> which does not come from A.I. nor a big computer :-)

A WEB page was made to illustrate Monocular Depth...

<https://hebergement.universite-paris-saclay.fr/lecoat/demoweb/monocular_
depth.html>

This is about measuring monocular depth, just as stereoscopic disparity
is measured. It means quantifying the depth, with images from a single
camera. We can see this relief naturally, but it is a matter of
measuring it with the optical-flow :-)

Best regards,

-- 
François LE COAT
<https://eureka.atari.org/>

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