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Groups > sci.image.processing > #4926
| From | Francois LE COAT <lecoat@atari.org> |
|---|---|
| Newsgroups | sci.image.processing |
| Subject | Re: Optical Inertia |
| Date | 2025-04-01 19:15 +0200 |
| Organization | To protect and to server |
| Message-ID | <vsh6ul$1nos2$1@paganini.bofh.team> (permalink) |
| References | (2 earlier) <uuk12g$1qclv$1@paganini.bofh.team> <ver2l9$1aree$1@paganini.bofh.team> <vfr7r2$qm8n$1@paganini.bofh.team> <vhnjv5$3dv75$1@paganini.bofh.team> <vpi39q$3709u$1@paganini.bofh.team> |
Hi, Francois LE COAT writes: > A WEB page was made to illustrate Monocular Depth... > > <https://hebergement.universite-paris-saclay.fr/lecoat/demoweb/monocular_depth.html> > > > A drone flies between the trees of a forest. Thanks to the optical-flow > measured on successive images, the monocular depth 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 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 > we are showing here does not require the use of any “artificial neural > network”. It is a physical measurement, with a classic algorithm, > which does not come from A.I. nor a big computer :-) > > 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. Until now, drone images came from forests in France. The first images were obtained in the French Vosges. <https://www.youtube.com/watch?v=245yJJrwMQ0> Drone in the forest We are now seeing more and more drones in forests outside of France. The available image sources are diversifying... Best regards, -- Dr. François LE COAT CNRS - Paris - France <https://hebergement.universite-paris-saclay.fr/lecoat>
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