Decomposition of reflection and scattering by multiple-weighted measurements

Abstract

An observed image is composed of multiple components based on optical phenomena, such as light reflection and scattering. Decomposing the observed image into individual components is an important process for various computer vision tasks. No general approach to combine them exists although many decomposition methods exist. This paper proposes a general approach to combine different decomposition methods in a linear algebraic manner called multiple-weighted measurements. Experimental results show that the proposed approach decomposes observed images into four optical components based on diffuse and specular reflection and single and multiple scattering. The decomposed components are applied to material segmentation as an application.

Polarimetric Light Transport Analysis for Specular Inter-Reflection

“…In light transport analysis, we can use other optical cues along with polarization. Previous works have already shown promising results by combining polarization with other cues such as color [37], high-frequency pattern [38], and Time-of-Flight [33]. Our method contributes to these previous and future methods to enable a comprehensive analysis of light transport, including higher-order multiple bounce reflection.…”