Hi there, I have been facing this issue that unable to retain the small details of scanning object. See picture, the stitching line and the fabric materials are not precisely reconstructed, instead showing blur and fuzzy result. (left real object, right virtual one)
I was wondering if I should increase the number of photos? or taking more close ups? or consider LIDAR solutions? or other matters. Thanks in advance.
Hi Massimo, thanks for your reply. I agree the result was very impressive considering the time and efforts it requires. However, we are trying to push the boundary of achieving realism. Yes texture can help greatly improve the overall look and feel, but it only improve the texture(bitmap) information, not surface detail, which means if this object was using in real-time rendering environment (gaming or simulation) it won’t present hyper realistic surface detail as the lighting will reveal the surface bumpiness, which usually converted to be Normal/displacement map is post prod. I am supporting RC and would like to explore how to make scan better and learn from anyone who had this kind of experience. Thanks for your reply tho.
It would help if you could post the specs of the camera you took the photos with and the amount of photos you had.
Also, the settings you had when shooting could help also to create a better picture of how the subject was captured.
Hi Emil, the camera I used is Sony a6000, I used 6k*4k resolution, green screen as background, 2 key lights on lift and right, 2 fill lights in the back. 1500 photos. High details for reconstruction. Hope that helps.
It is a boot,right? Because I was wondering why would you take so many photos for such a small object?
Have you tried what happens if you do somewhere between 150 and 250?
my point was that once you applied the texture maps, no human eye will be able to detect any more surface details than what you already have.
Anyway, if you really want to try to increase it, try lowering the amount of photos, as suggested by Emil. 1500 are way too many. I don’t think that too many photos decrease the quality, but they certainly make the computation time to explode.
You might try reducing the photos and increasing the reconstruction parameters instead.