Separation of diffuse and specular components of surface reflection by use of polarization and statistical analysis of images
- 15 March 2004
- journal article
- research article
- Published by Institute of Electrical and Electronics Engineers (IEEE) in IEEE Transactions on Pattern Analysis and Machine Intelligence
- Vol. 26 (5), 639-647
- https://doi.org/10.1109/tpami.2004.1273960
Abstract
The image of an opaque object is created by observing the reflection of the light incident on its surface. The dichromatic reflection model describes the surface reflection as the sum of two components, diffuse and specular terms. The specular reflection component is usually strong in its intensity and polarized significantly compared to the diffuse components. On the other hand, the intensity of the diffuse component is weak and it tends to be unpolarized except near occluding contours. Thus, the observation of an object through a rotating polarizer approximately yields images containing constant diffuse component and specular component of different intensity. In this paper, we show that diffuse and specular components of surface reflection can be separated as two independent components when we apply independent component analysis to the images observed through a polarizer of different orientations. We give a separation simulation of artificial data and also give some separation results of real scenes.Keywords
This publication has 15 references indexed in Scilit:
- Separating reflections and lighting using independent components analysisPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2003
- Using polarization to separate reflection componentsPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2003
- Independent Component AnalysisPublished by Wiley ,2001
- Polarization and statistical analysis of scenes containing a semireflectorJournal of the Optical Society of America A, 2000
- Separating reflections from images by use of independent component analysisJournal of the Optical Society of America A, 1999
- Object shape and reflectance modeling from observationPublished by Association for Computing Machinery (ACM) ,1997
- An Information-Maximization Approach to Blind Separation and Blind DeconvolutionNeural Computation, 1995
- Constraining object features using a polarization reflectance modelIEEE Transactions on Pattern Analysis and Machine Intelligence, 1991
- Using color to separate reflection componentsColor Research & Application, 1985
- Theory for Off-Specular Reflection From Roughened Surfaces*Journal of the Optical Society of America, 1967