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Robust shape from polarisation and shading
conference contribution
posted on 2010-11-18, 00:00 authored by C P Huynh, Antonio Robles-KellyAntonio Robles-Kelly, E HancockIn this paper, we present an approach to robust estimation of shape from single-view multi-spectral polarisation images. The developed technique tackles the problem of recovering the azimuth angle of surface normals robust to image noise and a low degree of polarisation. We note that the linear least-squares estimation results in a considerable phase shift from the ground truth in the presence of noise and weak polarisation in multispectral and hyperspectral imaging. This paper discusses the utility of robust statistics to discount the large error attributed to outliers and noise. Combining this approach with Shape from Shading, we fully recover the surface shape. We demonstrate the effectiveness of the robust estimator compared to the linear least-squares estimator through shape recovery experiments on both synthetic and real images. © 2010 IEEE.
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Pagination
810 - 813Publisher DOI
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1051-4651ISBN-13
9780769541099Publication classification
E1.1 Full written paper - refereedTitle of proceedings
Proceedings - International Conference on Pattern RecognitionUsage metrics
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