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Tzk | 1 year ago
Photogrammetry relies on unique points on an object. Imagine that the software doesn’t have any information besides what’s visible on the photos. Basically it tries to match the same points on different photos and is then able to reconstruct the object by estimation.
This works great for objects which got a unique texture or many unique points. Like a newspaper, which has a lot of non-repeating text and thus a non-repeating texture. This doesn’t word great for single color objects, as the software can’t distinguish different points on the object.
This does also work on matte,opaque objects, as reflections will show the surroundings and may alter the color.
Now combine the above: cars are usually single color, shiny and have very little corners and edges. This is photogrammetries worst nightmare. Even if you coat the whole car in a single even layer of something, then it’s still single color…
What works (but it’s a painful task!) is to sprinkle colored matte dots onto the car, preferably in a random pattern. Then you take houndreds of photos of the car. It’ll take a long time and it must be done in an even lit place. So no direct sunlight but a cloudy day or inside a building with a lot of indirect lighting.
In short: Don’t try it and buy a scanner like Einstar instead. Renting a more expensive scanner is also an option. You’ll still need to coat the car, but it’s faster and less painful.
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