Can Surface Topography Give Us Best Light Positions for Reflectance Transformation Imaging?

Reflectance Transformation Imaging (RTI) is a technique that provides an enhanced visualization experience. The current acquisition methods for are time consuming and computationally expensive. This work investigates the idea of getting best light positions RTI using surface topography. We propose automating by estimating topography deep learning method followed unsupervised clustering method. one shot which only needs image. also created Synthetic dataset in order to carry out experiments. found alone not sufficient estimate without putting constraints.