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6 Jan 2025 15:47:58 EST (-0500)
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From: Francois LE COAT
Subject: Re: Optical Inertia
Date: 29 Dec 2024 12:00:58
Message: <6771804a@news.povray.org>
Hi,

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 with
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 yo
u 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 neu
ral
network”. It is a physical measurement, with a classic algorithm,

which does not come from A.I. nor a big computer :-)

Best regards,

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


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