Hi,

Francois LE COAT writes:
> This is a sequence of images from a drone in the forest:
> 
> <https://www.youtube.com/watch?v=Kt0mkFYX45A> Drone
> 
> The drone flies very slowly compared to the acquisition rate of 30
> frames per second. This makes it much easier to observe the trajectory
> and visible depth. The successive images in the sequence are highly
> correlated. It is not necessary to frequently reset the reference image

> selection over time, as the correlation between this image and
> subsequent images remains well above the 60% threshold chosen for
> resetting.

Here's a sequence of images from a drone in the forest:

<https://www.youtube.com/watch?v=hFcDUU626po> Swedish woods

This image computing called 3D Optical Inertia looks like SLAM
(Simultaneous Localization and Mapping) method. We obtain both
the location (trajectory) and the visible relief (3D depth map).
However, we're dealing with a monocular (single camera) image
sequence, not a stereoscopic (human vision) one.

Here is the spline trajectory in space: <https://skfb.ly/pFx6u>

Best regards,

-- 

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

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