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Hi,
Francois LE COAT writes:
>> Here is another example of drone in the forest, outside from France:
>>
>> <https://www.youtube.com/watch?v=BO_OUFHFzTY> Forest
>>
>> We also obtained the trajectory in the X-Z plane, of the flight:
>>
>> <https://sketchfab.com/3d-models/forest-e253ebd61e2a4bd6abcd21ac56f25b
ae>
>>
>> These are filtered measurements and it's not ideal computer graphics.
>
> Here is a sequence of images of a ballad in the forest. This scene
> is observed by a tracking drone...
>
>
> The camera's movement is estimated in the images using a projective
> dominant motion measurement. The presence of a man in the image sequenc
e
> does not interfere with trajectory estimation, because the character
> occupies a position in the field of vision that is not dominant. The
> dominant motion corresponds to the scrolling of the scenery, that is
> the movement of the forest relative to an observing camera.
Here is a drone in the forest...
<https://www.youtube.com/watch?v=h3vhlRBB9tg> Forest
We also obtain the trajectory in space: <https://skfb.ly/pxGqL>
It's interesting to note that this trajectory loops. That is to say,
the drone passes over the professional pilot's location, and is in
the same place at the end of the video.
This proves the quality of the trajectory estimation in space. :-)
Best regards,
--
<https://eureka.atari.org/>
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Hi,
Francois LE COAT writes:
>>> Here is another example of drone in the forest, outside from France:
>>>
>>> <https://www.youtube.com/watch?v=BO_OUFHFzTY> Forest
>>>
>>> We also obtained the trajectory in the X-Z plane, of the flight:
>>>
>>> <https://sketchfab.com/3d-models/forest-e253ebd61e2a4bd6abcd21ac56f25
bae>
>>>
>>>
>>> These are filtered measurements and it's not ideal computer graphics.
>>
>> Here is a sequence of images of a ballad in the forest. This scene
>> is observed by a tracking drone...
>>
>>
>> The camera's movement is estimated in the images using a projective
>> dominant motion measurement. The presence of a man in the image sequen
ce
>> does not interfere with trajectory estimation, because the character
>> occupies a position in the field of vision that is not dominant. The
>> dominant motion corresponds to the scrolling of the scenery, that is
>> the movement of the forest relative to an observing camera.
>
> Here is a drone in the forest...
>
> <https://www.youtube.com/watch?v=h3vhlRBB9tg> Forest
>
> We also obtain the trajectory in space: <https://skfb.ly/pxGqL>
>
> It's interesting to note that this trajectory loops. That is to say,
> the drone passes over the professional pilot's location, and is in
> the same place at the end of the video.
>
> This proves the quality of the trajectory estimation in space. :-)
Here's a long drone flight through a Swedish forest...
<https://www.youtube.com/watch?v=ppW5BbDPFHc> Swedish forest
We obtain the estimated trajectory in space: <https://skfb.ly/pxZHy>
The image matching algorithm doesn't incorporate any prior knowledge
about what the camera is observing. This might look like a SLAM
(Simultaneous Localization And Mapping) method, which is a sparse
method, but what is presented is a global and dense method based
on optical-flow measurement (Dense Inverse Search - DIS).
This is an algorithm, i.e. a numerical recipe, that does not use
artificial neural networks. We obtain a filtered measurement (by
a Kalman filter) of physical data.
Best regards,
--
<https://eureka.atari.org/>
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