Hi,
I have an odd problem and maybe some expert here can help me get un-stuck.
I need to do the best possible 3d reconstruction of a human body based only in 5 pictures taken at 90, 45, 0 -45 and -90 degrees. Before you ask, no, I can't take more pictures, unfortunately, as I'm using an existing dataset :(
Of course, I know the reconstruction won't be great or maybe even good, based on the extremely limited data set.
Some requirements:
-There are 200 human sets, so doing a manual 3d model for each one is not feasible, but doing some manual work is reasonable (like manual alignment, manual point matching etc)
- The 3d model should be textured too.
- The pictures have plenty of details and texture
- The pictures where captured with a filter that removes all reflections so the texture detail is pretty solid and there are no specular occlusion
- the 90 and 45 degree images are not precisely at 90 and 45, but close
- I only need to build the front of the body
- The camera FOV is known
I've done research using many photogrammetry software and could not find one that has a special "low number of images" mode. Maybe a human-assisted mode?
Hope someone here can help.
Thanks :)