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JOURNALS // Computer Optics // Archive

Computer Optics, 2018 Volume 42, Issue 5, Pages 764–771 (Mi co559)

This article is cited in 1 paper

OPTO-IT

Shape from mixed polarization

V. A. Taamazyan

Moscow Institute of Physics and Technology

Abstract: In this paper, we propose a new method that jointly uses viewpoint and polarization data to holistically separate diffuse and specular components, recover refractive index, and ultimately recover the 3D shape of an object. By involving the physics of polarization in the separation process, we demonstrate competitive results with a benchmark method, while recovering additional information (e.g. refractive index).

Keywords: scattering, polarization, three-dimensional sensing, shape from polarization, separating reflection components, refractive index estimation, polarized 3D.

Received: 25.02.2018
Accepted: 01.10.2018

DOI: 10.18287/2412-6179-2018-42-5-764-771



© Steklov Math. Inst. of RAS, 2024