Polarized light field Imaging for reflectance separation and transparent object acquisition
File(s)
Author(s)
Kim, Jaewon
Type
Thesis
Abstract
This thesis addresses two challenging acquisition problems for computer graphics: acquisition of layered reflectance, and acquiring common transparent objects (axially-symmetric containers) and liquids. The first problem is approached using a novel computational photography method for single shot separation of diffuse/specular reflectance as well as novel angular domain separation of layered reflectance. A polarized light field camera is presented as a key component for simultaneously capturing multiple states of polarization and this thesis demonstrates single-shot reflectance separation under various types of incident illumination. To tackle the second problem, a practical solution is proposed for high quality reconstruction of axially-symmetric transparent objects and estimation of the optical properties of various common liquids contained in such objects. Acquisition setup of the solution involves imaging such objects from a single viewpoint while illuminating them from directly behind with polarized patterns. A reconstruction step is then based on optimization of the object's geometry and its refractive index to minimize the difference between observed and simulated transmission and refraction of rays passing through the object. The same setup is also employed for developing a novel method for estimating optical properties of common liquids contained in natural concentrations in a known axially-symmetric transparent container.
Version
Open Access
Date Issued
2018-08
Date Awarded
2019-03
Copyright Statement
Creative Commons Attribution NonCommercial No Derivatives Licence
Advisor
Ghosh, Abhijeet
Glocker, Ben
Publisher Department
Computing
Publisher Institution
Imperial College London
Qualification Level
Doctoral
Qualification Name
Doctor of Philosophy (PhD)