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Estimating Surface Characteristics and Extracting Features from Polarisation

  • Lichi Zhang
  • Edwin R. Hancock
  • Jing Wu
Part of the Lecture Notes in Computer Science book series (LNCS, volume 7626)

Abstract

In this paper we develop a practical method for estimating shape, color and reflectance using only three images taken under polarised light. We develop a novel and practical framework to optimise the estimates and eliminate the redundant information, then investigate three different methods to compare their class discriminating capacities. We present experiment to demonstrate the validity of the proposed method for a database of fruit objects from 5 different classes, and we show that the proposed method is capable of accurately extracting the features of the input examples. The framework can further be applied in a variety fields of computer vision and pattern recognition domains including object recognition and classification.

Keywords

Principal Component Analysis Feature Extraction Input Image Zenith Angle Azimuth Angle 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2012

Authors and Affiliations

  • Lichi Zhang
    • 1
    • 2
  • Edwin R. Hancock
    • 1
    • 2
  • Jing Wu
    • 1
    • 2
  1. 1.Department of Computer ScienceUniversity of YorkUK
  2. 2.School of Computer Science and InformaticsCardiff UniversityUK

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