Anon-Lambertian photometric stereo under perspective projection

Abstract

Under the perspective projection assumption, non-Lambertian photometric stereo is a highly non-linear problem. In this study, we present an optimized framework for reconstructing the surface normal and depth with non-Lambertian reflection models under perspective projection. By decomposing the images into diffuse and specular components, we compute the surface normal and reflectance simultaneously. We also propose a variational formulation that is robust and useful for surface reconstruction. The experiments show that our method accurately reconstructs both the surface shape and reflectance of colorful objects with non-Lambertian surfaces.

Keywords

Photometric stereo / Three-dimensional reconstruction / Perspective projection / Image decomposition

RIGHTS & PERMISSIONS

2019 Zhejiang University and Springer-Verlag GmbH Germany, part of Springer Nature