Hi,

Francois LE COAT wrote:
> Here's a drone's long flight through the forest in France...
> 

> 
> We're in rather complicated lighting conditions, with shadows and
> clouds. Hence the significant noise in the video. The optical-flow
> (DIS - OpenCV) that allows the determination of monocular depth
> performs rather well. Mathematicians refer to this determination
> as an "ill-posed problem". But statistically, for the large images
> we're dealing with, it works well :-)

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

	<https://www.youtube.com/watch?v=gOAwt0I7GNE>

These image computing 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's the drone's trajectory in space: <https://skfb.ly/pCyBy>

Best regards,

-- 

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

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