Normal Estimation of a Translucent Object from Polarization States by Single Scattering Image
Akihiro Miyata (1651104)
In computer vision field, many researchers work on 3D shape reconstruction from images.
However, the problem of estimating 3D shape of translucent objects is difficult because they scatter incident light.
While conventional researches reconstruct 3D shape robustly to scattering, in our research we use polarization
that can be changed due to optical phenomena such as refraction and scattering and try to estimate shape from
polarization cue, which is observed through a polarizer.
Although translucent objects scatter incident light many times, we assume single scattering for simplicity and model scattering and refraction with respect to polarization states.
We consider whether the proposed method can estimate the normal using synthetic data.