Show us one of those "flatten" out 2D images.
You, nor I have the info needed to ortho-rectify 2D images you find on the internet. That is my point.
No reason you can't place a properly-scaled 3D model on an unaltered 2D photo and match the photo's field-of-view.
Yes there is, which is why you can't assume anything you know nothing about. And what does "properly scaled" mean?
You have a graphic example of that?
[snip image]
In the above image, the President's head is approximately in profile and its plane is similar to the film plane. We can add measurements at the head's midline that will be on the same plane as the head seen in the photo and the film plane. All three planes coincide. OK, I'll concede 2% "distortion (but that's a lot less distortion than your laser test).
Any 2D image is not suitable for this. You can't "concede" a % of distortion, you have to measure and rectify it. And there is zero distortion on my 3D laser test, because it is already in 3D.
"Manipulate graphically". What are you talking about? The 3D model exists as scaled (usually 1:1) and in its own file. It should come very close to matching the same subject and its position unique to the photo. Often-times, it will match close-to-perfect, depends on facet-count and so forth.
I thought you understood the concept of manipulating a digital 3D model. It's how video games work. A 3D model is rendered in 2D using hidden lines and projection algorithms. You hamstring yourself by converting everything from 3D to 2D and then expect us to believe you got it right.
Supposedly not having your photos from your own test allows everyone to "buy it". LOL.
For that, you fail since you have no interest in the truth. Carry on LNer.