Abstract
Specular reflections on surfaces result in strong highlights in greylevel and color images and may cause standard vision algorithms to produce erroneous results. In this paper, a new method to eliminate highlights based on polarisation is introduced. The Fresnel reflectance model is used to describe the polarizing effect of specular reflection. A polarisation filter can reduce but not completly eliminate highlights. Two images taken with different orientation of a polarization filter provide the necessary information to calculate the magnitude of specular reflectance on two-dimensional dielectric surfaces. The specular reflectance is removed from the image leaving the desired diffuse reflectance. Using three images with different orientation of a polarization filter, the introduced method can also be applied to intense highlights in three- dimensional scenes. The algorithm is originally designed to remove specular reflectance from greylevel images. However it may also be applied to color images with the effect, that the assumptions made in this paper reach a higher degree of reliability.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
M. Born, E. Wolf: Principles of Optics, Pergamon, London 1965
F.R. Kessler: Physik: Optik IL Deutsches Institut für Fernstudien, Tübingen 1978
G.J. Klinker, S.A. Shafer, T. Kanade: Using a color reflection model to separate highlights from object color. 1. ICCV: pp. 145–150, London 1987
G.J. Klinker: A Physical Approach to Color Image Understanding. Wellesley, USA, 1993A.K. Peters Ltd.
K. Koshikawa: A Polarimetrie approach to shape understanding of glossy objects. 3. International Joint Conference on Artificial Intelligence, pp. 493–495, 1979
V. Müller: Analysis of Optical Reflection - A new Approach to Surface Inspection, In W.G. Kropatsch, H. Bischof (Eds.): Mustererkennung 1994. DAGM-Symposium und ÖAGM-Workshop Wien. pp. 74–80, Springer, Wien 1994
S.W. Lee: Understanding of Surface Reflection in Computer Vision by Color and Multiple Views, PhD thesis, University of Pennsylvania, 1991
H. Li, H. Burkhardt: Prototypentwicklung von Algorithmen zur Orientierungsschätzung von Pralinen aufbauend auf Grauwertmerkmalen (I) - Prinzip und Implementierung. Interner Bericht 3/91, Technische Informatik I, TU-HH, Dezember 1991
S.K. Nayar, X.S. Fang, T. Boult: Removal of Specularities Using Color and Polarization, IEEE Conference on Computer Vision and Pattern Recognition, pp. 583–590, New York 1993
S. Shafer: Using Color to Separate Reflection Compenents. Color Research and Applications, Vol. 10, pp. 210–218, 1985
L.B. Wolff: Spectral and polarization stereo methods using a single hght source. 1. ICCV, pp. 708–715, London 1987
L.B. Wolff: Polarization Methods in Computer Vision, PhD thesis, Columbia University, 1990
L.B. Wolff, T.E. Boult: Constraining object features using a polarization reflectance model, IEEE Trans, on Pattern Analysis and Machine Intelligence Vol. 13 (6), pp. 635–657,1991
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 1995 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Müller, V. (1995). Polarization-Based Separation of Diffuse and Specular Surface-Reflection. In: Sagerer, G., Posch, S., Kummert, F. (eds) Mustererkennung 1995. Informatik aktuell. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-79980-8_24
Download citation
DOI: https://doi.org/10.1007/978-3-642-79980-8_24
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-60293-4
Online ISBN: 978-3-642-79980-8
eBook Packages: Springer Book Archive