Product: volumetric fabric pillow with filling. The fabric has an animal print.
Problem: The original images are taken from photographs, that is, 2D images.
The final product gains thickness + the fabric stretches. Therefore, the image printed on the fabric gets distorted. Since these are images of animals, this is critical.
Task: Show a way to fit a 2D raster image in such a way that when overlaid on a 3D model, the print looks undistorted. The front of the pillow should look like in the original photograph, without distortion.
In other words, is there a way to understand in advance how to distort the raster so that you don't have to go back and forth between programs, adjusting the raster image to the 3D model?
Input:
1. 3D object - pillow (obj or glb format).
2. Image of the animal from the front and back - 2 files (jpg or png format).
Output:
1. Pattern, the contours of the front and back halves are symmetrical.
2. A whole raster image for printing, 2 halves (front and back).
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Important! UV mapping can be used as an intermediate step (at your discretion), but the final result must be a whole image. If you are going to test, the stretch factor is 110% vertically.
It would be perfect if you could adapt AI to this process )
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The attached files provide a visual demonstration of what the problem is and a sample of what result will be considered good.
Also included are the 3D model and the original raster image (in case you want to try before getting started).
I don't know how much this costs, we will discuss.
Thank you for your attention.